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iimsaurav

Azure DevOps MCP Server

by iimsaurav

create_pull_request

Create a pull request in an Azure DevOps repository by specifying source and target branches, title, description, and reviewers. Optionally set as draft.

Instructions

Create a new pull request.

Args: project: Azure DevOps project name. Uses default if not specified. repository_id: The repository ID or name. source_branch: Source branch name (e.g., "feature/my-feature"). target_branch: Target branch name (e.g., "main"). title: Title of the pull request. description: Optional description/body of the pull request. reviewers: Optional list of reviewer IDs. is_draft: Whether to create as a draft PR (default: False).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNo
repository_idNo
source_branchNo
target_branchNo
titleNo
descriptionNo
reviewersNo
is_draftNo
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It states creation but lacks details on side effects, required permissions, validation constraints, or return value. For a mutation tool, this is insufficient.

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: one summary sentence followed by one line per parameter. No redundant information, well-organized, and front-loaded.

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?

Covers all parameters and purpose, but lacks output schema details and behavioral context like required parameters (source_branch, target_branch, title are likely required despite schema defaults). With no annotations, more context is needed for a complex creation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds meaning beyond the input schema by providing brief explanations for all 8 parameters, including examples for source/target branch and notes on defaults. However, some descriptions are minimal (e.g., reviewers).

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 'Create a new pull request' with detailed parameter list, making the action specific. It distinguishes from sibling tools like 'update_pull_request' and 'get_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 on when to use this tool vs alternatives, no prerequisites or when-not-to-use conditions. The description only explains what the tool does, not its appropriate 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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