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pblarismendi

mcp-github-server

by pblarismendi

add_pull_request_review

Submit a pull request review by approving, requesting changes, or leaving a comment. Specify the repository, pull request number, and review event to provide feedback.

Instructions

Agrega una review (aprobación, cambios solicitados, comentario) a un pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoComentario de la review en Markdown
repoYesNombre del repositorio
eventYesTipo de review: APPROVE (aprobado), REQUEST_CHANGES (cambios solicitados), COMMENT (solo comentario)
ownerYesPropietario del repositorio
pull_numberYesNúmero del pull request
Behavior2/5

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

With no annotations, the description must convey behavioral details. It only states the action and review types, but does not disclose side effects (e.g., whether it creates a new review or replaces an existing one), required permissions, authentication needs, or response behavior. This is a notable gap for a mutating 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, compact sentence that immediately conveys the core purpose without redundancy. It is front-loaded and contains no wasted words, fitting the high bar for conciseness.

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?

The schema is fully populated, which covers parameter understanding. However, without an output schema, the description does not explain the return value or any post-conditions (e.g., how the review appears on the PR). The lack of annotations and behavioral context prevents it from being fully complete, but the core usage is clear enough for a simple tool.

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 all parameters. The description mentions the review types which correspond to the 'event' enum, but adds no additional semantic detail beyond what the schema provides. 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 a specific action: adding a review to a pull request, with the three possible review types (approval, changes requested, comment). This distinguishes it from sibling tools like merge_pull_request or list_pull_request_reviews, making the 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the description—add a review when the user wants to submit feedback on a pull request—but it does not explicitly mention when to use this versus alternatives like create_pull_request or update_pull_request. No exclusions or alternative guidance is provided.

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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