Datadog MCP

List the execution instances of a Datadog Workflow Automation workflow. Use this to see a workflow's execution history — for example to find a recent run, check how many executions succeeded or failed, or locate an instanceId to pass to get_datadog_workflow_instance. Returns a lightweight summary per instance (instanc…

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Find Datadog Workflow Automation workflows and inspect their metadata. Metadata-only output is the default. Each result's meta.hasSavedDraft indicates whether a saved draft exists. Use get_datadog_workflow for the authoritative full definition of one workflow.

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Lists Data Observability cost- and performance-optimization recommendations for data jobs and queries (Spark, Databricks, Snowflake, BigQuery), each with estimated cost and duration savings. Returns lightweight summaries without recommendation content, ordered for cursor pagination. Each summary identifies the workloa…

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List all flagging environments for the organization. *** FEATURE FLAG DETECTION *** If users mention: flags, toggles, feature switches, A/B tests, experiments, gradual rollouts, canary releases, or say they want to 'flag' something, this is feature flag work and should use feature flag tools. This is a secondary tool…

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List all feature flags for the organization. *** FEATURE FLAG DETECTION *** If users mention: flags, toggles, feature switches, A/B tests, experiments, gradual rollouts, canary releases, or say they want to 'flag' something, this is feature flag work and should use feature flag tools. This is a secondary tool - use af…

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List all available guardrail metrics for the organization. Use this tool to discover metric IDs needed for allocation guardrails. Results are paginated to prevent context window overflow. *** FEATURE FLAG DETECTION *** If users mention: flags, toggles, feature switches, A/B tests, experiments, gradual rollouts, canary…

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List configuration versions for a Kafka broker on a given cluster, as collected by Data Streams Monitoring (DSM). Useful for diagnosing broker-level config drift and correlating cluster health changes with config edits. Datadog metric available for resolving kafka_cluster_id: `kafka.broker.count` (tagged with kafka_cl…

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List configuration versions for a Kafka topic on a given cluster, as collected by Data Streams Monitoring (DSM). Returns the history of topic-level config values (retention, cleanup policy, etc.) for auditing and drift detection. Resolving `kafka_cluster_id` automatically: if the caller only knows the topic, DO NOT as…

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List Agent Observability **annotation queues** — the review lists where humans (or agents) grade traces, sessions, and spans against a defined set of labels. Returns `queues` (each with `queue_id`, `name`, `project_id`, and its `annotation_schema`) and `count`. Start here: every other annotation tool takes a `queue_id…

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List **experiments datasets** within a project, with optional id or name filter. Resolve `project_id` first via **get_llmobs_project** if you only have a project name. Returns `datasets` (zero or more matches), pagination fields (`next_cursor`, `truncated`, `returned_count`), and `not_found_id` / `not_found_name` when…

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List every evaluator configured for the caller's organization, across all ML applications. Returns the eval name, ml_app, and enabled status for each evaluator. Use list_llmobs_evals_by_ml_app to scope to a single ML application, or get_llmobs_evaluator to retrieve a single evaluator's full configuration.

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List all evaluators configured for an ML application. Returns the eval name and enabled status for each evaluator. Use get_llmobs_evaluator to retrieve a single evaluator's full configuration.

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List experiment events with minimal summaries, supporting filtering by dimension or metric and sorting by metric value. Does NOT return full content — use **get_llmobs_experiment_event** to inspect a specific event. **Use cases:** - Find the worst-performing events by sorting on a metric - Filter to a specific dimensi…

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List experiment runs in a project or against a dataset, newest first. This is the discovery step before **get_llmobs_experiment_summary**, which needs an experiment ID. Scope is required: pass `project_id` or `dataset_id` (there is no org-wide listing). Narrow further with `experiment` to gather every run of one pipel…

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List all **Topics Discovery (Patterns)** configurations for the caller's org. A pattern config defines which LLM Obs spans to cluster (via `evp_query`), how many to sample, and how deep the topic hierarchy goes. Returns `configs` with each config's `id`, `name`, `evp_query`, sampling settings, and timestamps. Start he…

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List the **completed** Topics Discovery runs for a config, newest first. Each run is a distinct clustering of the config's spans at a point in time. Returns `runs` with each run's `id`, `status`, timestamps, and the `config_snapshot` used. Pass a run's `id` as `run_id` to **get_llmobs_patterns** to read that specific…

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List all LLM Observability **experiments projects** for the org. Returns projects sorted by creation date, newest first. Returns `projects` (array), `next_cursor` (pass as `cursor` to fetch the next page), and `truncated` (true when more pages exist). Use this to discover project names and IDs before calling **list_ll…

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Check for existing flags tagged source:agentic-onboarding that qualify for reuse: a non-production environment, currently ENABLED, whose queries already cover the given dd_env under the runtime matcher — the same guarantee create-onboarding-flag itself enforces before writing. Call this before proposing a new flag key…

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Fetch a page of rows from a reference table in primary-key order. Returns rows and a continuation_token for the next page. Pass continuation_token back on the next call to paginate consistently. Use list_reference_tables first to discover table IDs.

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List and search reference tables in the organization. Reference tables are used to enrich logs and other data with additional context. Use this tool to discover available tables, check their status, and find tables by name.

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List saved filters for the organization.

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List stale feature flags in the organization, each enriched with the reason it is stale and a tool_hints array of suggested next-step tools to clean it up.

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Returns all Synthetics locations available to this org — managed (aws:, gcp:, azure: prefixes) and private (pl: prefix). When presenting results, include at least the id and name for each location.

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Step-by-step instructions for adding initial Datadog LLM Observability (AKA, 'LLMObs') setup to applications with an LLM or AI agent. You must first review the user's project and this tool's arguments (including any nested arguments) and fill out as many of them as possible before calling this tool. Check project file…

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Load a Datadog skill guide before using related Datadog tools. Skills improve query quality by documenting the right attributes, syntax, and common pitfalls. Skill names depend on the visible toolsets; if you do not already know the exact skill name from a prior list_datadog_skills response, call list_datadog_skills f…

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Add, update, or delete a comment on a Datadog Error Tracking issue. Use action "add" to post a new comment, "update" to edit an existing comment, or "delete" to remove one. Markdown is supported in comment messages. The Issue ID can be obtained from the search_datadog_error_tracking_issues or get_datadog_error_trackin…

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Searches monitor groups to find which specific groups (e.g. host:web-1) are alerting across monitors. Use monitor_id to filter groups for a specific monitor, or use the query field with supported facets: group_status (e.g. 'group_status:alert'), type (e.g. 'type:metric'), monitor_name (e.g. 'monitor_name:High CPU'), o…

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Mute or unmute security findings. Muting suppresses a finding from alerts and dashboards without resolving it. Use analyze_datadog_security_findings or search_datadog_security_findings to find specific finding IDs first. Mute reasons: PENDING_FIX, FALSE_POSITIVE, ACCEPTED_RISK, OTHER. Unmute reasons: NO_PENDING_FIX, H…

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Analyze a SQL query for optimization opportunities using deterministic rules plus LLM-assisted analysis. Returns actionable recommendations including query rewrites, anti-pattern detection (SELECT *, OFFSET without ORDER BY, ORDER BY without LIMIT), missing index suggestions, and idle-in-transaction impact analysis. P…

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Publish a specific draft version of a Datadog form, making it the active published version. Use get_datadog_form with version='latest' to find the current draft version number before publishing. Returns the publication record with the form_id, published version, and publish sequence number.

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