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astronomer

astro-airflow-mcp

Official
by astronomer

get_dag_run

Retrieve detailed execution information for a specific Airflow DAG run, including status, timing, configuration, and metadata.

Instructions

Get detailed information about a specific DAG run execution.

Use this tool when the user asks about:

  • "Show me details for DAG run X" or "What's the status of run Y?"

  • "When did this run start/finish?" or "How long did run Z take?"

  • "Why did this run fail?" or "Get execution details for run X"

  • "What was the configuration for this run?" or "Show me run metadata"

  • "What's the state of DAG run X?" or "Did run Y succeed?"

Returns detailed information about a specific DAG run execution including:

  • dag_run_id: Unique identifier for this execution

  • dag_id: Which DAG this run belongs to

  • state: Current state (running, success, failed, queued, etc.)

  • execution_date: When this run was scheduled to execute

  • start_date: When execution actually started

  • end_date: When execution completed (if finished)

  • duration: How long the run took (in seconds)

  • run_type: Type of run (manual, scheduled, backfill, etc.)

  • conf: Configuration parameters passed to this run

  • external_trigger: Whether this was triggered externally

  • data_interval_start: Start of the data interval

  • data_interval_end: End of the data interval

  • last_scheduling_decision: Last scheduling decision timestamp

  • note: Optional note attached to the run

Args: dag_id: The ID of the DAG (e.g., "example_dag") dag_run_id: The ID of the DAG run (e.g., "manual__2024-01-01T00:00:00+00:00")

Returns: JSON with complete details about the specified DAG run

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes
dag_run_idYes

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