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Tiberriver256

Azure DevOps MCP Server

update_pull_request

Update an Azure DevOps pull request's title, description, status, and draft flag. Manage reviewers and work items, and add or remove tags.

Instructions

Update an existing pull request with new properties, manage reviewers and work items, and add or remove 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
pullRequestIdYesThe ID of the pull request to update
titleNoThe updated title of the pull request
descriptionNoThe updated description of the pull request
statusNoThe updated status of the pull request
isDraftNoWhether the pull request should be marked as a draft (true) or unmarked (false)
addWorkItemIdsNoList of work item IDs to link to the pull request
removeWorkItemIdsNoList of work item IDs to unlink from the pull request
addReviewersNoList of reviewer email addresses or IDs to add
removeReviewersNoList of reviewer email addresses or IDs to remove
addTagsNoList of tags to add to the pull request
removeTagsNoList of tags to remove from the pull request
additionalPropertiesNoAdditional properties to update on the pull request
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as destructive nature (e.g., updating status to completed may be irreversible), required permissions, rate limits, or response format. The description is generic.

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, front-loaded sentence that covers the tool's main actions. It is concise, though it could be slightly more structured (e.g., listing actions separately).

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 the tool's complexity (15 parameters, nested objects, no output schema), the description is too brief. It does not explain return values, error conditions, or constraints (e.g., status transitions). Annotations are absent, making the description insufficient for complete 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 for all 15 parameters. The description enumerates categories (properties, reviewers, work items, tags) but adds minimal value beyond the schema definitions. Baseline 3 is appropriate.

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 it updates an existing pull request with new properties, manages reviewers and work items, and adds/removes tags. It distinguishes from sibling tools like create_pull_request (creation) and get_pull_request (read-only).

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 usage for updating a pull request but provides no explicit guidance on when to use this tool versus alternatives like update_work_item or manage_work_item_link. No when-not-to-use or prerequisites are mentioned.

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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