Skip to main content
Glama
Tiberriver256

Azure DevOps MCP Server

create_pull_request

Create a pull request in Azure DevOps with reviewers, linked work items, and tags to streamline code review and tracking.

Instructions

Create a new pull request, including reviewers, linked work items, and optional tags

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
titleYesThe title of the pull request
descriptionNoThe description of the pull request (markdown is supported)
sourceRefNameYesThe source branch name (e.g., refs/heads/feature-branch)
targetRefNameYesThe target branch name (e.g., refs/heads/main)
reviewersNoList of reviewer email addresses or IDs
isDraftNoWhether the pull request should be created as a draft
workItemRefsNoList of work item IDs to link to the pull request
tagsNoList of tags to apply to the pull request
additionalPropertiesNoAdditional properties to set on the pull request
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions creation and optional elements but omits important details like side effects (e.g., triggering builds), permission requirements, or what the response contains. For a creation tool, more transparency is needed.

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 a single sentence front-loaded with the core purpose. Every part is functional, no wasted words.

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 tool with 12 parameters, no output schema, and no annotations, the description is too brief. It fails to explain return values, success indicators, or important nuances of the parameters (e.g., format of reviewers). The description is inadequate for full understanding.

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?

The input schema has 100% description coverage, so each parameter is documented. The description adds minimal extra meaning beyond the schema, only reinforcing 'reviewers, linked work items, and optional tags'. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create a new pull request' and specifies included elements like reviewers, linked work items, and tags. However, it does not explicitly differentiate from sibling tool 'update_pull_request' which modifies existing PRs.

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?

The description implies when to use (to create a new PR) but provides no explicit guidance on when not to use it (e.g., for updates, use update_pull_request) or alternative tools. The context is clear but lacks exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Tiberriver256/mcp-server-azure-devops'

If you have feedback or need assistance with the MCP directory API, please join our Discord server