Datadog API

Acknowledge an On-Call Page alert in Datadog. Use this tool to acknowledge an On-Call Page alert for a specified page in Datadog. This can be used to indicate that an alert is being addressed.

Activate Agentless scan options for an AWS account.

Activate Agentless scan options for Azure subscriptions. Use this tool to activate Agentless scan options for a specified Azure subscription. This is useful for enabling security scans without deploying agents.

Activate Agentless scan options for a GCP project. Use this tool to enable Agentless scanning for a Google Cloud Platform project. This is useful for setting up security scans without deploying agents.

Add a comment to a specific case in Datadog. Use this tool to post a comment to a particular case within the Datadog system by providing the case ID.

Add dashboards to an existing list in Datadog. Use this tool to append dashboards to a specified existing dashboard list in Datadog. Ideal for organizing and managing dashboards effectively. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires path parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required path parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Add a member team to a super team. Use this tool to add a specified team as a member of an existing super team by providing the super team's ID.

Assigns a specific permission to a given role. Use this tool to add a permission to a specific role within Datadog. It should be called when you need to assign new permissions to a role to adjust user access and capabilities.

Adds a read role to a specified archive. Use this tool to grant read access to a specific archive by adding a read role. Ideal for managing permissions and ensuring the right users or groups have access to log data archives.

Adds a role to a restriction query for logs configuration. This tool is used to add a specific role to an existing restriction query in Datadog's logs configuration. Call this tool when you need to update restriction queries by including additional roles.

Add a new link to a Datadog team. Use this tool to add a new link to a specific team's page in Datadog. Suitable for enhancing team resources or documentation by linking additional references.

Adds a user to a specific role in Datadog. Use this tool to add a user to a specific role in Datadog's system. It is called when you need to assign user permissions via roles.

Add a user to a team in Datadog. Use this tool to add a specified user to an existing team within Datadog by providing the team ID.

Aggregate logs to compute metrics and timeseries. This tool aggregates log events into buckets to compute relevant metrics and timeseries. It's useful for analyzing large volumes of log data to extract meaningful insights. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Aggregate CI pipeline event metrics and timeseries. This tool aggregates CI Visibility pipeline events into buckets of computed metrics and timeseries. Use it when you need to analyze CI pipeline performances and trends. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Aggregate RUM events into computed metrics and timeseries. This tool aggregates Real User Monitoring (RUM) events into buckets of computed metrics and timeseries. It is used when there is a need to analyze and visualize RUM data effectively. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Aggregate spans to compute metrics and timeseries. Use this tool to aggregate spans into buckets and compute metrics and timeseries data. This is useful for analyzing performance and trends in systems. Note: Limited to 300 requests per hour. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Aggregate CI Visibility test events into metrics and timeseries. Use this tool to aggregate CI test events into buckets for computed metrics and timeseries insights. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Archive an Azure Cloud Cost Management account in Datadog. Use this tool to archive a Cloud Cost Management account associated with Azure in Datadog. This action is irreversible and should be performed when you need to remove cost management configurations for a specific Azure account.

Archive a specific case in Datadog. This tool is used to archive a case in Datadog by specifying the case ID. Call this tool when you need to move a case to the archive for record-keeping or compliance.

Archive a Cloud Cost Management Account. Use this tool to archive a Cloud Cost Management Account in Datadog, specifically for AWS CUR configurations. Useful for managing or removing outdated or unnecessary cost configurations.

Archive a Cloud Cost Management account. Use this tool to archive a Google Cloud Platform (GCP) cost management account in Datadog.

Assign a case to a specific user. Use this tool to assign a case to a specific user by providing the case ID. It should be called when you need to allocate a case to an appropriate team member or user.

Delete multiple items from a datastore at once. Use this tool to delete multiple items from a specified datastore by their keys in a single operation. It's ideal for efficiently removing batches of entries when managing datastore contents.

Perform bulk creation or replacement of datastore items. Use this tool to create or replace multiple items in a Datadog datastore in a single operation by specifying their keys. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires path parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required path parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Cancel an active downtime in Datadog. Use this tool to cancel an active downtime in Datadog. The downtime remains visible for about two days in search results until it is permanently removed.

Cancel a historical job in Datadog. Use this tool to cancel an ongoing historical job in Datadog, identified by its job ID.

Cancel a specific execution of a workflow. Use this tool to cancel a specific execution of a given workflow in Datadog. Ensure you have the necessary application key or permissions configured to perform this action.

Change the triage state of a security signal. This tool is used to modify the triage state of a specific security signal in Datadog's security monitoring system. It is useful for managing signal priorities and responses.

Clone an existing role based on role ID. This tool allows cloning of an existing role by using its unique role ID. It should be called when you need to create a duplicate of an existing role with identical permissions.

Configure bulk tags for specified metrics in Datadog. Use this tool to create and define queryable tag keys for existing count, gauge, rate, and distribution metrics in Datadog by specifying a metric name prefix. It manages tags configurations and sends results to account email addresses. Suitable for users with 'Manage Tags for Metrics' permission.

Convert a job result to a signal for detection purposes. Use this tool to transform a job result into a signal, useful for detection and monitoring in Datadog.

Converts Datadog security rules from JSON to Terraform format. Use this tool to convert a Datadog security monitoring rule from JSON format to Terraform format. It is helpful when you need to transform security rules for infrastructure as code purposes. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Convert existing security rule from JSON to Terraform. This tool converts an existing Datadog security monitoring rule from its JSON format to a Terraform configuration. Use it to facilitate the integration and management of your rules using Terraform.

Create a new action connection in Datadog. Use this tool to create a new action connection in Datadog. Ensure you have a registered application key before using this tool. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a retention filter for indexing spans in Datadog. Use this tool to create a retention filter in Datadog that indexes spans within your organization. Note that default filters of types spans-errors-sampling-processor and spans-appsec-sampling-processor cannot be created. This tool returns the definition of the newly created retention filter.

Creates a new AuthN Mapping in Datadog. This tool calls the Datadog API to create a new AuthN Mapping. It should be used when you need to set up or configure authentication mappings in Datadog. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new AWS Account Integration Config in Datadog. This tool should be called when you need to integrate an AWS account with Datadog. It will set up a new AWS account configuration for monitoring and managing AWS services through Datadog. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create an AWS CUR config for Cloud Cost Management. Use this tool to create a Cloud Cost Management account for an AWS Cost and Usage Report (CUR) configuration.

Create a Cloud Cost Management account for Azure. Use this tool to set up a Cloud Cost Management account for an Azure configuration using Datadog. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Initiate the creation of a new case type in Datadog. Use this tool to create a new case type in Datadog, enabling structured classification and management of cases within the platform.

Create a Cloudflare account through Datadog integration. This tool is used to create a Cloudflare account using Datadog's integration API. It should be called when you wish to initiate a new Cloudflare account while leveraging Datadog services.

Create a new cloud workload security agent rule. This tool creates a new security agent rule for cloud workload monitoring. It should be called when there is a need to set up or update security rules specifically for the Government (US1-FED) site. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a Confluent account on Datadog. Use this tool to create a new Confluent account within the Datadog platform. Ideal for setting up new Confluent integrations. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a Confluent resource for a specified account. Use this tool to create a Confluent resource within a specific account using its ID. It's useful for managing Confluent resources in Datadog integrations.

Create a custom allocation rule in Datadog. Use this tool to create a custom allocation rule in Datadog with specified filters and allocation strategies. Useful for managing cost allocations with strategies like proportional, even, timeseries, or fixed percentage methods. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a custom attribute configuration for a specific case type. Use this tool to create a custom attribute configuration in Datadog for a specified case type, enhancing data categorization and organization.

Create a custom log destination in Datadog. This tool creates a custom destination for logs in your Datadog organization. Use it to configure where your logs should be sent. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a custom security framework in Datadog. This tool is used to create a custom security framework in Datadog's cloud security management system. Call this tool when you need to define or customize security protocols and structures. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a new API key in Datadog. Use this tool to generate a new API key in Datadog. Ideal for managing authentication and access to Datadog services.

Create a Datadog GCP principal for integration. Use this tool to create a GCP principal in Datadog, enabling integration with Google Cloud Platform.

Create a new restriction query in Datadog. This tool creates a restriction query for your organization in Datadog. Use it to manage log access and configurations.

Creates a new workflow in Datadog and returns its ID. This tool is used to create a new workflow in Datadog, returning the workflow ID. It requires having a registered application key or configured permissions in the UI. This can be useful for automating processes and managing workflows effectively within the Datadog platform. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a dataset with specified configurations. Use this tool to create a new dataset on Datadog with the desired configurations provided in the request. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new Fastly account through Datadog integration. Use this tool to create a new Fastly account using Datadog's integration service. Ideal for setting up Fastly accounts quickly and efficiently. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a Fastly service for a specific account in Datadog. Use this tool to create a Fastly service associated with a given account within Datadog. Ideal when setting up or expanding Fastly integrations.

Create a cost management account for Google Cloud usage. This tool creates a Cloud Cost Management account specifically for Google Cloud Usage Cost configurations. It should be called when a user wants to set up or initiate tracking and managing costs related to their Google Cloud resources.

Create a new GCP STS account entry in Datadog. Use this tool to create a new entry within Datadog for your STS-enabled Google Cloud Platform service account. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new incident in Datadog. This tool is used to create a new incident within Datadog's incident management system. Trigger this tool when there is a need to report or manage an incident requiring attention. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create an impact for a specific incident. This tool is used to create an impact for a specified incident. It should be called when there is a need to log or document the impact details of an ongoing or past incident. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires path, query parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required path, query parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create incident integration metadata for an incident. Use this tool to create integration metadata related to a specific incident in Datadog. It facilitates linking external integrations to an incident for enhanced tracking and management. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires path parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required path parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a new incident notification rule in Datadog. Use this tool to create and manage notification rules for incidents in Datadog. It should be called when there is a need to set up a new notification rule for monitoring incident alerts. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a new incident notification template. Use this tool to create a new notification template for incidents. It should be called when there is a need to set up or customize notifications related to incident management.

Create a task within an incident in Datadog. This tool is used to add a to-do item to an incident in Datadog, helping manage and track tasks related to incident resolution. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires path parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required path parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new incident type in Datadog. This tool is used to create a new incident type in Datadog, allowing users to define categories for managing incidents effectively.

Create a metric from your ingested logs. Use this tool to create a metric based on the logs ingested in your Datadog organization. It returns the log-based metric object when the request is successful. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create an archive of logs in your organization. Use this tool to create a new archive for logs within your organization through Datadog. This is useful for organizing and storing logs for compliance or analysis purposes. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create queryable tag configurations for metrics. This tool is used to create and define a list of queryable tag keys for an existing metric in Datadog, such as count, gauge, rate, or distribution metrics. It allows for optional percentile aggregations on distribution metrics. By setting the 'exclude_tags_mode' to true, users can switch from an allow-list to a deny-list mode, where defined tags are not queryable. This tool requires the `Manage Tags for Metrics` permission. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires path parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required path parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new monitor configuration policy in Datadog. Use this tool to create monitor configuration policies within Datadog, specifying the desired configurations and parameters. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a monitor notification rule in Datadog. Use this tool to set up a notification rule for a specific monitor in Datadog. This allows for alerting based on monitor condition changes. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new monitor user template in Datadog. This tool should be called to create a new user template for monitoring within Datadog. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new app and return its ID using Datadog. Use this tool to create a new app in Datadog. Ensure you have a registered application key or configured permissions in the UI before calling this tool. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a new datastore in Datadog. Use this tool to create a new datastore within the Datadog platform. It should be called when a new storage resource needs to be initialized or added to the Datadog system.

Create a new team and add specified members. This tool creates a new team and adds specified user IDs to it. Use it when you need to establish a team and assign users to it in Datadog. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create an Okta account via Datadog integration. Use this tool to create a new Okta account through Datadog's API integration. This is useful when setting up user accounts for Okta within the Datadog platform.

Create a new On-Call escalation policy in Datadog. This tool is used to create a new On-Call escalation policy in Datadog. Call this tool when you need to set up or adjust escalation protocols within your team for handling alerts. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires query parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required query parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new on-call schedule in Datadog. This tool is used to create a new on-call schedule in Datadog. It should be called when there is a need to set up a schedule for on-call duties, allowing teams to manage availability and response times. The tool returns a confirmation of the schedule created along with its details. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. This operation also requires query parameters. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. Note: You must also provide the required query parameters when executing. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new Opsgenie service in Datadog integration. This tool is used to create a new service object within the Opsgenie integration on Datadog. It should be called when you need to set up or add a new Opsgenie service to monitor and manage incidents or alerts.

Create a user for your organization in Datadog. This tool allows you to create a new user for your organization in Datadog. Use it when you need to add a team member to your Datadog account. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a new organization connection in Datadog. Use this tool to create a connection between the current organization and a target organization within Datadog. Ideal for linking organizational resources and sharing data across teams.

Create or update service definitions in Datadog. Use this tool to create a new service definition or update an existing one in the Datadog Service Catalog. Call this when needing to manage service details within Datadog. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new pipeline in Datadog's system. Use this tool to create a new pipeline within the Datadog service. It should be called when a user needs to set up or initialize a new data pipeline in their Datadog environment. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Creates a new powerpack in Datadog. Use this tool to initiate a powerpack creation in Datadog when managing monitoring configurations is required. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new project in the system. Use this tool to initiate and create a new project effectively. It communicates with the Datadog service to set up the project environment.

Create a new reference table in Datadog. This tool creates a new reference table in Datadog. It can be called by either uploading CSV data to get an upload ID or by providing cloud storage access details. Use this when you need to set up a reference table with data from CSV files. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a reference table upload for bulk data ingestion. Use this tool to initiate the creation of a reference table upload in Datadog, facilitating bulk data ingestion for analytics or monitoring purposes.

Create a new role for your organization in Datadog. This tool should be called when you need to create a new organizational role within the Datadog system. It returns details about the newly created role, helping to manage access and permissions for users. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new RUM application within your organization. This tool is used to create a new RUM (Real User Monitoring) application in your organization using Datadog's API.

Create a metric based on RUM data. Use this tool to create a metric using your organization's RUM data via Datadog. It returns the metric object if successful. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a RUM retention filter for a RUM application. Use this tool to create a data retention filter for an RUM application, which controls the retention rules of your application's RUM data.

Create a new scanning group in Datadog. This tool creates a new scanning group in the Datadog sensitive data scanner. It allows for the configuration relationship to be included but does not support creating rules simultaneously. The new group is added last in the configuration order. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a scanning rule in a sensitive data group. Use this tool to create a new scanning rule within a sensitive data scanner group. The rule requires a group relationship and either a standard pattern or a regex attribute, but not both. If no attributes are specified, it will scan all except excluded ones. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a new scorecard rule in Datadog. Use this tool to create a new scorecard rule in Datadog when you need to automate monitoring tasks or enforce policies. Ideal for setting up performance metrics or compliance checks. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a security filter using Datadog's API. Use this tool to create a security filter for monitoring purposes in Datadog. Ideal for setting up security monitoring based on predefined conditions. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a detection rule for monitoring security events. This tool is used to create a new detection rule for monitoring security events through Datadog. It involves setting up criteria and policies to trigger alerts for specific security-related incidents. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create a service account for your organization. Note: Understanding the request schema is necessary to properly create the stringified JSON input object for execution. Modes: - GET_REQUEST_SCHEMA: Returns the schema. Only call if you don't already have it. Do NOT call repeatedly if you already received the schema. - EXECUTE: Performs the operation with the provided request body JSON. If you need the schema, call with mode='get_request_schema' ONCE, then execute.

Create an application key for a service account. Use this tool to create a new application key for a specified service account on Datadog. It should be called when an application key is needed for service account integration or access.

Initiate the generation of an SLO report in Datadog. Use this tool to start an SLO report job in Datadog. Once created, the job processes asynchronously, and a CSV report becomes available for download. Utilize the returned `report_id` to check status and access the report.