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iimsaurav

Azure DevOps MCP Server

by iimsaurav

get_pull_request

Retrieve detailed information about a specific pull request in Azure DevOps, including its status, reviewers, and source/target branches.

Instructions

Get detailed information about a specific pull request.

Args: project: Azure DevOps project name. Uses default if not specified. repository_id: The repository ID or name. pull_request_id: The pull request ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNo
repository_idNo
pull_request_idNo
Behavior2/5

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

Without annotations, the description carries full burden. It only implies a read operation but does not disclose authentication needs, rate limits, or any side effects. The behavioral disclosure is minimal.

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, with a clear single-sentence purpose followed by a parameter list. Every sentence is necessary and efficiently communicates the tool's function.

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 no output schema, the description does not explain return values. With 3 simple parameters, it is somewhat complete but lacks information on what 'detailed information' includes, making it only partially adequate.

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?

Schema description coverage is 0%, so the description must add meaning. It provides basic explanations for each parameter (e.g., 'Uses default if not specified' for project), but these are minimal and do not fully compensate for the lack of schema documentation.

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 the verb 'Get' and the resource 'detailed information about a specific pull request', which distinguishes it from sibling tools like list_pull_requests and create_pull_request.

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 is provided on when to use this tool versus alternatives, when not to use it, or prerequisites. The description only lists parameters without any usage context.

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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