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frothkoetter

data-quality-cde-mcp-server

by frothkoetter

get_airflow_dag_run_status

Retrieve the most recent run status of a CDE Airflow job, including timestamps and run ID, to monitor execution and diagnose failures.

Instructions

Monitor latest CDE Airflow job run status (via CDE run API).

Returns the most recent run for the given CDE Airflow job, including status, start/end times, and run id for further inspection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cde_userNo
job_nameYes
cde_passwordNo
cde_endpoint_urlNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden. It clearly states this is a read-only monitoring operation that returns status, start/end times, and run ID. It does not overpromise or hide side effects; the phrase 'via CDE run API' adds context. Minor gap: it doesn't explicitly state it makes no changes, but the 'monitor' wording implies a safe read operation.

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 two sentences, front-loaded with the key action and resource. The second sentence adds valuable return details. No wasted words, though 'CDE Airflow job' appears twice redundantly; still concise and well-structured.

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?

The description covers the tool's core purpose and return data, and an output schema exists, so return structure is provided elsewhere. However, it is under-specified given 4 parameters with 0% schema coverage, especially the auth-related params, and lacks usage guidance relative to sibling tools. It is minimally viable but leaves notable gaps for an agent to invoke correctly with correct credentials.

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 explain any parameters. While job_name is obvious, the optional credentials (cde_user, cde_password, cde_endpoint_url) are left entirely unexplained, forcing the agent to guess their purpose. The description fails to compensate for the schema gap.

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 states a specific verb ('Monitor') and resource ('latest CDE Airflow job run status'), and clarifies it returns the most recent run with status, times, and run ID. This clearly differentiates it from sibling tools like get_cde_job_run_status which likely handles specific runs.

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

Usage Guidelines3/5

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

Usage is implied: 'Monitor latest' suggests using this tool when you want the most recent run status. However, no explicit alternatives or when-not-to-use guidance is provided, and sibling tools like list_cde_job_runs and get_cde_job_run_status are not mentioned as alternatives.

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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