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iimsaurav

Azure DevOps MCP Server

by iimsaurav

get_pipeline_run_logs

Retrieve logs for a specific Azure DevOps pipeline run using the pipeline ID and run ID.

Instructions

Get logs for a specific pipeline run.

Args: project: Azure DevOps project name. Uses default if not specified. pipeline_id: The ID of the pipeline. run_id: The ID of the pipeline run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNo
pipeline_idNo
run_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the basic operation without noting pagination, permissions, or output volume. Important behavioral context is missing.

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 concise (one line for purpose, then parameter list) with no superfluous text. It is front-loaded and functional, though slightly more context could be added without losing brevity.

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?

Given no annotations and the tool's moderate complexity (3 parameters, output schema exists), the description is incomplete. It does not explain how to obtain the required pipeline_id and run_id, nor does it describe the expected output format or common error scenarios.

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%. The description adds minimal meaning: it explains that 'project' uses a default if not specified, but for pipeline_id and run_id it merely repeats the schema titles. It does not fully compensate for the lack of schema descriptions.

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 logs for a specific pipeline run', which is a specific verb-resource combination. It distinguishes from sibling tools like get_pipeline_runs (which lists runs) and others.

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?

No guidance on when to use this tool versus alternatives. Prerequisites (e.g., needing pipeline_id and run_id from other tools) are not mentioned. No exclusions or when-not-to-use advice.

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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