Datadog MCP

Retrieve paginated data from a table, sheet, or legacy pivot in a Datadog spreadsheet. The tab type is inferred automatically from tab_id; use get_datadog_spreadsheet to discover tab IDs. For tables and legacy pivots: returns rows with a header row first; paginate with offset. For sheets: returns cell-by-cell data (ro…

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DEPRECATED: use get_datadog_spreadsheet_tab_data instead, which provides a unified interface for table tabs. Retrieve paginated rows from a table in a Datadog spreadsheet. Time range comes from the table's configured timeframe; use start/end to override.

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Return enabled and disabled Test Optimization features for a service: Test Impact Analysis, Early Flake Detection, Auto Test Retries, Failed Test Replay, Code Coverage, and PR Comments. Provide env whenever it is known.

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Retrieve a trace by trace ID from Datadog APM. This tool fetches all spans within a specific trace by default, providing detailed information about the request flow, timing, and service interactions. For large traces or to retrieve a summarized trace, set only_service_entry_spans=true to get a hierarchical condensed v…

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Retrieve a single Datadog Workflow Automation workflow by ID. By default, returns the saved draft when one exists, otherwise the base. Set specTarget to select exactly the base or saved draft spec. The response includes inputSchema, publication state, triggers, tags, and other metadata.

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Get the full definition of a Datadog Workflow Automation action by actionId. Returns resolved input/output JSON schemas, action keywords, action-specific AI instructions, and other metadata needed to construct a workflow step. Use this after search_datadog_workflow_actions, or whenever the exact action contract is not…

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Retrieve a Datadog Workflow Automation execution instance. The default response is a lightweight execution summary. Set includeDetails to true for the raw detailed execution record, including workflow definition and source, step-state associations, inputs, and outputs. Use detail mode for investigation, not routine po…

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Get the JSON schema for a Datadog Workflow Automation spec. Call this before constructing a spec for create_datadog_workflow, validate_datadog_workflow, or update_datadog_workflow.

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Retrieve the execution data for a single step of a Datadog Workflow Automation instance: its status, error message, inputs, evaluated inputs/outputs, and the execution context the step's expressions were evaluated against.

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Fetch full details and attributes for one or more data entities by their entity IDs. Use this to get the complete attribute set for known data entities: owner, tags, display_name, custom attributes, and all core attributes (platform, schema, database, account). Do NOT use this to search — use search_data_entities if y…

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Fetch the containment hierarchy (ancestors and descendants) for one or more entities. Use this for containment navigation — NOT for data lineage (use get_data_entity_lineage for that). Typical use cases: - "What schema/database/account does this table belong to?" → parent_depth=2 or 3 - "What tables are in this schema…

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Fetch the live reachable lineage subgraph from one or more anchor entities. Checks direct children of the anchor entities for lineage as well. For example, you can pass a table entity id as an anchor, and get back the column-level lineage. If you want to get lineage for a higher-level container entity (e.g. a database…

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Retrieves data observability metrics for a given monitor ID. This tool fetches data quality metrics timeseries data, including anomaly detection bounds when the monitor has anomaly detection enabled. For anomaly monitors, the response includes upper and lower bounds that define the expected normal range for the metric…

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Fetch all Data Quality monitors for this org and resolve each monitor's entity filter to return the full set of entities it is configured to cover. For each monitor, the filter is evaluated against UGP to return detailed entity information (name, platform, schema, database, account) for all covered tables. Monitors wi…

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Query the current alert and warn state of DQ monitor groups from the alerting service. Coverage is based on actual monitor groups — entities for which the monitor has received real metric data. For each monitor, returns which entities are currently alerting or warning. Use this when the user specifically asks about ac…

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Gets the full details of a single Data Observability recommendation by id, including its structured body_sections describing the problem, evidence, and proposed change. Obtain the id from list_data_observability_recommendations.

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List the valid measures, facets, aggregations, and cardinality_fields for aggregate_dora_events, per DORA index (deployment, commit, pull_request, failure). Call this before aggregate_dora_events to pick a valid 'metric', 'group_by' facet, or 'aggregation'. cardinality_fields lists the extra non-facet fields usable as…

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Get custom user-defined descriptions for data entities by their IDs. Returns a map of entity_id to description with created_at and updated_at timestamps.

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Get custom user-defined tags for data entities. Returns entity IDs with their associated key:value tags. These are custom tags distinct from built-in entity attributes.

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Gets variants and status in environment for a specific feature flag by ID or key. Provide featureFlagID or featureFlagKey (or both). *** 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 i…

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Get the JSON Schema used to validate a Datadog form's data_definition and ui_definition. Fetch this before constructing or updating a form definition with create_datadog_form or update_datadog_form.

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Get submitted responses for a Datadog form. Use get_datadog_form to obtain the datastore_id for the form first.

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Read this org's Synthetics global variables. Each variable is returned in full (id, name, description, tags, creator, editor, timestamps, and more). The plaintext value is included only for non-secure variables; secure variables never include their value. mode 'list' (default): search and filter by name, tags, or crea…

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Get details for a specific guardrail metric by ID. Use this to inspect a metric's full details including description and aggregation configuration. *** FEATURE FLAG DETECTION *** If users mention: flags, toggles, feature switches, A/B tests, experiments, gradual rollouts, canary releases, or say they want to 'flag' so…

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Return producer- and/or consumer-side Kafka client configuration for one or more services, as collected by Data Streams Monitoring (DSM). Each entry pairs a service name with a config_type of either 'producer' or 'consumer'.

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Get a chronological view of an agent's execution loop, showing each step (LLM calls, tool invocations, decisions) in order. This provides a narrative of what the agent did and why. **Use cases:** - Understand an agent's decision-making process - Debug why an agent took a specific action - Review the full conversation…

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Walk a dataset's records page by page server-side and return them as shaped previews, with a cursor that always resumes exactly where the walk stopped. Use this when you need **complete coverage** of a dataset — exporting it, counting records, or checking every record against a condition. Use **get_llmobs_dataset_reco…

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Read what is in an annotation queue: every queued interaction with the annotations recorded on it. Returns `annotated_interactions` (each with its `id`, `content_id`, and `annotations` carrying the label values), plus `total_interactions`, `annotated_count`, and `pending_count` for the queue as a whole — the counts de…

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Read the label definitions of an annotation queue: what each label is called, what kind of value it accepts, and its server-assigned `id`. Returns `label_schemas` (empty for a queue with no labels defined yet). Call this before **upsert_llmobs_annotations** to learn each label's `id` and its accepted values, and befor…

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Look up, across every annotation queue in the org, whether given traces, sessions, or spans are queued for review, whether anyone has reviewed them, and what the reviewers said. Returns `annotated_interactions` (each naming its `queue_id` / `queue_name` and carrying the annotations recorded on it), `total_count` acros…

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