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get_dag_run_details

Retrieve comprehensive details for a specific Airflow DAG run, including all task instances with their execution status, durations, and failure hints for troubleshooting.

Instructions

Get full details for a specific DAG run, including every task instance.

Use this to see ALL tasks in a DAG run with their pass/fail status. For any failed tasks, the output includes ready-to-use get_task_log() hints. Common DAG task flow: start → create_arguments → check_inputs → initialise (creates EMR app) → processing → finalise.

Args: dag_id: The DAG identifier. dag_run_id: The run ID (e.g. 'scheduled__2026-02-16T00:00:00+00:00' or 'manual__...'). env: Target environment — 'dev', 'uat', 'test', or 'prod'. IMPORTANT: Do NOT guess or default. Ask the user which environment if not specified.

Returns formatted output showing each task with state, duration and try count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes
dag_run_idYes
envNo

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