Datadog

Aggregate Datadog logs without downloading raw events. Use for counts, unique values, percentiles, numeric statistics, grouped breakdowns, and values over time. Use DATADOG_SEARCH_LOGS only when individual log messages are required.

Create a dashboard in Datadog. Dashboards provide customizable visualizations for monitoring your infrastructure, applications, and business metrics in a unified view.

Creates a new downtime in Datadog to suppress alerts during maintenance windows or planned outages. Useful for preventing false alarms during deployments or maintenance.

Creates a Datadog On-Call escalation policy.

Creates a new event in Datadog. Events are useful for tracking deployments, outages, configuration changes, and other important occurrences.

Creates a new Datadog monitor to track metrics, logs, or other data sources with configurable alerting thresholds and notifications.

Creates an On-Call notification channel for a Datadog user.

Creates an On-Call notification rule for a Datadog user.

Creates a Datadog On-Call schedule.

Create a Service Level Objective (SLO) in Datadog. SLOs help you define and track reliability targets for your services, enabling data-driven decisions about service quality and reliability investments.

Create a synthetic API test in Datadog. Creates a new synthetic API test that continuously monitors API endpoints from multiple locations worldwide. Useful for proactive monitoring of API uptime, performance, and functionality.

Create a webhook in Datadog. Registers a named destination endpoint; each monitor must explicitly reference the webhook by name in its message or notification settings for alerts to be delivered.

Delete a dashboard in Datadog. Permanently removes a dashboard from your organization. This action cannot be undone. Use with caution.

Deletes a Datadog On-Call escalation policy by ID. This action cannot be undone.

Deletes a Datadog monitor permanently. Use with caution as this action cannot be undone.

Deletes an On-Call notification channel for a Datadog user. This action cannot be undone.

Deletes an On-Call notification rule for a Datadog user. This action cannot be undone.

Deletes a Datadog On-Call schedule by ID. This action cannot be undone.

Get a specific dashboard from Datadog. Retrieves detailed information about a dashboard including its widgets, layout, template variables, and metadata.

Retrieves a Datadog On-Call escalation policy by ID.

Retrieves detailed information about a specific Datadog monitor, including its current state, configuration, and any active downtimes.

Retrieves an On-Call notification channel for a user by ID.

Retrieves an On-Call notification rule for a user by ID.

Retrieves a Datadog On-Call schedule by ID.

Gets the currently scheduled on-call user for a Datadog On-Call schedule.

Get service dependency mapping from Datadog APM. This action retrieves the dependency graph for a specific service, showing both upstream services (that call this service) and downstream services (that this service calls). It's essential for: - Understanding the blast radius of service failures - Identifying critical dependencies during incidents - Analyzing service communication patterns - Planning architectural changes - Monitoring service health in context The dependency information includes call rates, error rates, and latency metrics to help assess the health of service relationships. Requires APM instrumentation on the target service; uninstrumented services return empty or incomplete dependency data.

Tool to retrieve all available public and private locations for Synthetic tests in Datadog. Use when you need a list of location identifiers for creating or managing synthetic tests.

Retrieves all tags associated with a specific host in Datadog. Useful for understanding host metadata and organizing infrastructure.

Gets the current on-call users for a Datadog On-Call team.

Gets the Datadog On-Call routing rules configured for a team.

DEPRECATED: Use DATADOG_SEARCH_TRACES instead. Get detailed information about a specific trace by its ID. This action retrieves comprehensive details about a distributed trace, including all spans, timing information, errors, and metadata. It's essential for: - Deep diving into specific request flows during incidents - Understanding the complete journey of a problematic request - Analyzing performance bottlenecks in detail - Correlating errors across services - Debugging complex distributed system issues The trace ID is typically obtained from logs, error reports, or trace search results. Use targeted time windows to avoid rate limiting; prefer narrow ranges over full 15-day spans when the approximate trace time is known.

Retrieves usage summary information from Datadog including API calls, hosts, containers, and other billable usage metrics. Useful for cost monitoring and usage analysis. Months with no activity return empty payloads on success; absent data is expected, not an error.

List all tags from Datadog. Tags help organize and filter your infrastructure and applications. This action shows all tags in use across your organization.

List API keys in Datadog. Retrieves all API keys in the organization for security auditing, access management, and key rotation planning. Helps maintain security posture by tracking key usage and ownership. Response contains sensitive key metadata (names, owners, last-used timestamps); restrict tool access to authorized personnel and handle output securely.

List APM services from Datadog. Application Performance Monitoring (APM) provides deep visibility into your applications, helping you track performance, errors, and dependencies.

List AWS integrations in Datadog. Retrieves all configured AWS account integrations, showing which AWS accounts are monitored by Datadog and their configuration settings. Useful for cloud infrastructure management and ensuring comprehensive monitoring coverage.

Lists all Datadog dashboards with basic information. Useful for dashboard management and getting an overview of available dashboards.

Lists events from Datadog within a specified time range. Events track important occurrences like deployments, outages, and configuration changes. Combining multiple filters (tags, sources, priority) with narrow time ranges may return empty results even when events exist — start with broad filters and narrow incrementally. Large time ranges with minimal filtering can return very high event volumes; tune tags, sources, and start/end before processing results.

Lists all hosts in your Datadog infrastructure with detailed information including metrics, tags, and status. Useful for infrastructure monitoring and management.

List incidents from Datadog. Incident Management helps you track, manage, and resolve incidents efficiently with comprehensive timeline and impact tracking.

Tool to retrieve a list of all log indexes configured in Datadog, including their names and configurations. Use before DATADOG_SEARCH_LOGS to identify the correct index name; searching without specifying the right index can hide valid logs and increase usage costs across high-volume indexes.

Discover metric names by listing actively reporting metrics since a given timestamp. Use when you need to find what metrics exist before querying timeseries data with DATADOG_QUERY_METRICS.

Get all monitor details. This endpoint allows you to retrieve information about all monitors configured in your organization. You can filter by group states, name, tags, and use pagination to manage large result sets.

Lists the On-Call notification channels configured for a Datadog user.

Lists the On-Call notification rules configured for a Datadog user.

List roles from Datadog organization. Roles define sets of permissions that control what users can do within your Datadog organization.

Lists service checks from Datadog. Service checks are status checks that track the health of your services and infrastructure components.

List Service Level Objectives (SLOs) from Datadog. Service Level Objectives help you track the reliability and performance of your services by setting measurable targets for key metrics.

List Synthetics tests from Datadog. Synthetics monitoring allows you to proactively monitor your applications and APIs by simulating user interactions and API calls from various locations.

List users from Datadog organization. User management allows you to see team members, their roles, and access levels within your Datadog organization.

List webhooks from Datadog. Webhooks allow you to send notifications to external services when monitors trigger, enabling integration with your workflows.

Mute a monitor in Datadog. Temporarily silences alerts from a monitor, which is useful during maintenance windows, deployments, or when investigating known issues to prevent alert fatigue.

Queries Datadog metrics and returns time series data. Useful for retrieving historical metric data, creating custom dashboards, or building reports.

Searches Datadog logs with advanced filtering capabilities. IMPORTANT NOTES: - Sort parameter is NOT supported by the Datadog Logs API and will cause errors - Time parameters must be in milliseconds (13-digit UNIX timestamps) - Limit parameter is passed as string to the API - Log content is nested under 'content' field in API response Useful for troubleshooting, monitoring application behavior, and analyzing log patterns.

Search and analyze span data with aggregations in Datadog. This action uses the Datadog Spans Analytics API to perform advanced queries and aggregations on trace span data. It's essential for: - Analyzing error rates and latency patterns - Understanding service dependencies and bottlenecks - Root cause analysis during incidents - Performance monitoring and optimization The API supports complex queries with grouping, filtering, and various aggregation functions similar to log analytics. The request body must conform to the `aggregate_request` schema; schema violations return "Invalid type. Expected 'aggregate_request'". If `filter` or `compute` cannot satisfy this schema, use basic trace search instead.

Search for traces in Datadog APM. This action allows you to search for distributed traces across your services. It's essential for: - Finding specific request flows during incident investigation - Analyzing performance bottlenecks across services - Understanding error propagation through your system - Correlating user requests with backend operations Traces provide the complete picture of a request as it travels through your distributed system, making them crucial for root cause analysis.

Replaces (sets) the On-Call routing rules for a Datadog team.

Submits custom metrics to Datadog. Useful for sending application-specific metrics, business KPIs, or custom performance indicators.

Unmute a monitor in Datadog. Re-enables alerts from a previously muted monitor, returning it to normal monitoring and alerting behavior. Alerting resumes immediately upon call, so ensure maintenance or issue resolution is fully complete before unmuting to avoid alert storms. Use this after maintenance windows or issue resolution to resume monitoring.

Update a dashboard in Datadog. Updates an existing dashboard with new configuration, widgets, or layout while preserving its identity and creation metadata.