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fastmcp-me

MCP-Airflow-API

by fastmcp-me

get_task_instance_logs

Retrieve task instance logs from Apache Airflow by specifying the DAG, run, and task identifiers, with optional try number.

Instructions

[Tool Role]: Retrieves logs for a specific task instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes
task_idYes
dag_run_idYes
try_numberNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only restates the tool's purpose. It does not mention try_number behavior, log format, access requirements, or behavior when no logs exist.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no filler, making it highly concise. However, it is so terse that it adds little beyond the tool name.

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

Completeness2/5

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

For a 4-parameter tool with no annotations and no parameter explanations, the description is under-specified. Although an output schema exists, the description lacks usage context and does not address the optional try_number or its relationship to sibling task-instance tools.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not compensate. It vaguely implies identification of a task instance, but provides no meaning for dag_id, dag_run_id, task_id, or try_number beyond what the parameter names already suggest.

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 uses a specific verb ('Retrieves') and clearly identifies the resource ('logs for a specific task instance'), which distinguishes it from sibling tools like get_task_instance_details or list_event_logs. It conveys exactly what the tool does.

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 offers no guidance on when to use this tool versus alternatives such as get_task_instance_details, list_event_logs, or get_xcom_entry. There are no usage scenarios, prerequisites, or exclusions.

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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