github-pr-review-mcp

submit_pr_review

Approve, request changes, or comment on a pull request by submitting a review with optional inline line comments.

Instructions

Submit a review to a pull request

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "owner": "<owner>",
      "repo": "<repo>",
      "prNumber": "<prNumber>",
      "body": "<body>",
      "event": "<event>"
    },
    "name": "submit_pr_review"
  }
}

Input Schema

Name	Required	Description
`body`	Yes	Review comment body
`repo`	Yes	Repository name
`event`	Yes	Review action
`owner`	Yes	Repository owner/organization
`comments`	No	Inline comments on specific lines
`prNumber`	Yes	Pull request number

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.4Aug 30, 2026

TDQS

C2.9/5.0

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 behavioral disclosure. It only says 'Submit a review' without explaining side effects, whether the review is final, whether a pending review must exist, or any authorization constraints. For a mutation tool, this is a significant transparency gap.

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 concise sentence with no wasted words, and the core action is front-loaded. However, it is so thin that it provides minimal value beyond restating the tool's purpose.

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?

With no annotations, no output schema, and six parameters, the description is underspecified. It does not mention inline comments, event semantics, or the relationship to pending-review workflow tools like ensure_pending_review and get_pending_review. An agent would need additional context to use it reliably in the intended workflow.

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 covers all 100% of parameters and each parameter has its own description, so the schema does the heavy lifting. The description adds no additional meaning above the schema, which matches the baseline for full schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action and resource: submit a review to a pull request. However, it does not differentiate this from closely related sibling tools like add_pr_comment or review_pr_with_prompt, so it lacks explicit sibling distinction.

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?

No guidance is given on when to use this tool versus alternatives such as add_pr_comment, ensure_pending_review, or review_pr_with_prompt. There are no exclusions or conditions, leaving the agent to infer the appropriate context.

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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