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madamak

Apache Airflow MCP Server

airflow_get_dag_run

Read-onlyIdempotent

Retrieve a single DAG run and its UI link using the DAG and run identifiers.

Instructions

Get a single DAG run and a UI link.

Parameters

  • instance: Instance key (optional)

  • ui_url: Airflow UI URL to resolve instance/dag/dag_run (optional)

  • dag_id: DAG identifier

  • dag_run_id: DAG run identifier

Returns

  • Response dict: { "dag_run": object, "ui_url": str, "request_id": str }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idNo
ui_urlNo
instanceNo
dag_run_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true and idempotentHint=true, so the description is not required to disclose safety. The description adds that the tool returns a dictionary with 'dag_run', 'ui_url', and 'request_id', which is useful but not extensive behavioral context. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the main purpose, and uses a clear list for parameters. Every sentence adds value without redundancy. Well-structured for quick parsing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and annotations, the description covers the basic purpose, parameters, and return structure. However, it lacks clarification on required parameter combinations (all optional but not all combinations valid) and does not anchor usage relative to many sibling tools. Adequate but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description must compensate. It lists parameters with basic descriptions (e.g., 'DAG identifier', 'Instance key (optional)'), adding minimal meaning beyond the names. However, it does not explain how parameters interact or which combinations are required, leaving gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Get a single DAG run and a UI link', specifying the verb (Get), resource (single DAG run), and an additional unique feature (UI link). It distinguishes from sibling tools like airflow_list_dag_runs and airflow_get_dag by focusing on a single run and including the link.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, required parameter combinations, or exclusions. The usage context is only implied by the tool's purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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