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Request Pull Request Review Tool

request-pull-request-review-tool

Ask the team for a review on an open pull request. Coderbuds posts the request to the team's Slack channel — picking the next reviewer from the team's rotation, or the one you name — and leaves a comment on the pull request itself so the ask is visible to anyone reading it. Coderbuds speaks in its own voice; it does not comment as you. Use this after opening a pull request, or when a PR has been sitting unreviewed. Identify the repository by name (e.g. "saas") or full name (e.g. "patchstack/saas").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional one-line context for the reviewer, e.g. "touches billing — needs a careful look at the proration maths".
reviewerNoOptional teammate to ask, by full name, email, or GitHub username. Leave this out to use the team's review rotation.
repositoryYesThe repository the pull request lives in, by name (e.g. "saas") or full name (e.g. "patchstack/saas").
pull_request_numberYesThe pull request number, e.g. 3258.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesA human-readable summary of the outcome.
successYesWhether the review request went out.
reviewerNoThe teammate who was asked, if one was assigned.
repositoryNoThe repository the pull request belongs to.
slack_notifiedYesWhether the request was posted to the team Slack channel.
pull_request_urlNoLink to the pull request.
pull_request_numberYesThe pull request the review was requested on.
commented_on_pull_requestYesWhether Coderbuds commented on the pull request.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With annotations empty, the description carries the full burden and does well: it discloses the Slack post, the reviewer-rotation vs. named-reviewer selection logic, the PR comment, and the important persona detail ('Coderbuds speaks in its own voice; it does not comment as you'). It omits failure modes (e.g. what happens if the rotation is empty or Slack is unlinked), so not a full 5.

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?

Front-loaded with the core action, then mechanism, then timing, then a naming hint. Every sentence contributes, though the mechanism sentence is somewhat long and could be tightened slightly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation-style side-effecting tool with an output schema (so return values need no explanation), the description covers action, side effects, persona, and timing well. The main remaining gap is what happens on failure (no rotation, unlinked Slack).

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 all four parameters are already documented in the schema. The description only restates the repository naming format, adding nothing beyond what the schema provides, so baseline 3 applies.

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 states a specific verb and resource ('Ask the team for a review on an open pull request') and immediately details the mechanism (Slack post + PR comment). No sibling tool does anything similar, so it is unambiguously distinguishable from the surrounding read-only get-* / assess-* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

It gives clear triggering conditions: 'Use this after opening a pull request, or when a PR has been sitting unreviewed.' There is no explicit when-not guidance, but since no sibling performs this action there is no real alternative to disambiguate against.

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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