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Request pull request review

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

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

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

A4.6/5.0
Behavior5/5

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

With only openWorldHint/destructiveHint declared, the description carries the behavioral burden and does so well: it discloses the two side effects (Slack message, PR comment), the reviewer-selection logic (rotation vs. named), and the attribution quirk that Coderbuds comments in its own voice rather than as the user — the kind of detail an agent cannot infer elsewhere.

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, and each sentence contributes either mechanism, attribution, or usage timing. Slightly padded by restating the repository naming convention already in the schema.

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

Completeness5/5

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

Output schema exists so return values need not be explained, and the description covers mechanism, side effects, selection logic, attribution, and timing for a 4-parameter tool. Nothing an agent needs to invoke it correctly is missing.

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?

Schema coverage is 100%, so baseline is 3; the description earns a bump by explaining the reviewer/rotation fallback behavior and the repository name-vs-full-name forms in prose. It adds meaning beyond the schema but repeats the repository format example verbatim.

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?

States a specific action (request a review on an open pull request) plus the exact mechanism: a Slack post to the team channel and a comment on the PR. No sibling tool does anything comparable, so an agent can route to it unambiguously.

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?

"Use this after opening a pull request, or when a PR has been sitting unreviewed" gives explicit triggering conditions. It doesn't name alternatives, but no sibling overlaps in function, so the omission is minor.

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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