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wuqunfei

github-mcp-server-js

by wuqunfei

create_pull_request_review

Submit a review on a GitHub pull request, choosing to approve, request changes, or comment. Optionally set the review as pending by omitting the event.

Instructions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoReview body text, required when event is REQUEST_CHANGES or COMMENT
repoYesRepository name
eventNoReview action; omit to leave the review PENDING
ownerYesRepository owner (user or organization login)
commit_idNoSHA of the commit to review (defaults to the most recent commit)
pull_numberYesPull request number
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 disclosing behavioral traits. The description simply states 'Create a review' without explaining that the review can remain pending if event is omitted, that body is required for certain events, or that the operation modifies pull request state. This is a significant gap for a mutation tool.

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 followed by a docs link. It is front-loaded with the action and resource, with no redundancy or filler. The docs link is useful for deeper reference. This is an example of appropriate conciseness, though it is minimal.

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 there is no output schema and no annotations, the description should provide more context about the operation's behavior, return value, and when it is appropriate. It lacks any mention of the review submission flow, the fact that a pending review is created when event is omitted, or expected response. The schema covers parameters but not the overall context, leaving the agent with incomplete information for safe invocation.

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%, and each parameter has a clear description in the schema. The tool description adds no additional parameter semantics, but the baseline of 3 is appropriate because the schema handles parameter documentation fully. The only minor addition is the docs link, which is not part of the description's parameter explanation.

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 uses the specific verb 'Create' and clearly identifies the resource as 'a review on a GitHub pull request'. This distinguishes it from sibling tools like list_pull_request_reviews, get_pull_request, and request_reviewers, making the tool's purpose unambiguous.

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?

The description provides no guidance on when to use this tool relative to alternatives such as list_pull_request_reviews or add_comment. It does not mention the review lifecycle (pending vs submitted) or any prerequisites like having write access to the repository. The only indication is the tool name itself, which implies creating, but no explicit usage context is given.

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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