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Tiberriver256

Azure DevOps MCP Server

list_pull_requests

List pull requests from an Azure DevOps repository, filtering by status, creator, reviewer, source or target branch, with pagination support.

Instructions

List pull requests in a repository

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoThe ID or name of the project (Default: MyProject)
organizationIdNoThe ID or name of the organization (Default: mycompany)
repositoryIdYesThe ID or name of the repository
statusNoFilter by pull request status
creatorIdNoFilter by creator ID (must be a UUID string)
reviewerIdNoFilter by reviewer ID (must be a UUID string)
sourceRefNameNoFilter by source branch name
targetRefNameNoFilter by target branch name
topNoMaximum number of pull requests to return (default: 10)
skipNoNumber of pull requests to skip for pagination
Behavior2/5

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

With no annotations, the description carries the full burden but only offers 'List pull requests in a repository'. It does not disclose pagination, default status, or read-only nature, providing minimal behavioral insight.

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 efficient sentence with no wasted words. It is concise but could benefit from a bit more detail 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 10 parameters and no output schema, the description is incomplete. It omits details about pagination, filtering capabilities, and the structure of the returned list, leaving significant gaps for an agent.

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 100%, so the schema already documents parameters. The description adds no extra meaning beyond the schema, meeting the baseline expectation.

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 'List', the resource 'pull requests', and the scope 'in a repository', distinguishing it from related tools like 'get_pull_request' (single) 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 or how to apply filters. The description lacks any context for appropriate usage.

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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