GitHub MCP Server

list_review_comments

Retrieve review comments from a GitHub pull request to track feedback and discussions.

Instructions

List review comments on 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>",
      "pull_number": "<pull_number>"
    },
    "name": "list_review_comments"
  }
}

Input Schema

Name	Required	Description	Default
`owner`	Yes	Repository owner
`repo`	Yes	Repository name
`pull_number`	Yes	Pull request number
`sort`	No	Sort by field (created, updated)	created
`direction`	No	Sort direction (asc, desc)	desc
`per_page`	No	Results per page (max 100)
`page`	No	Page number

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Mar 8, 2026

TDQS

B3.1/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's a list operation (implying read-only), but doesn't mention pagination behavior, rate limits, authentication requirements, or what the output contains. For a tool with 7 parameters and no annotation coverage, this is inadequate.

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, clear sentence with zero wasted words. It's front-loaded with the essential information and appropriately sized for a straightforward list operation.

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?

Given the tool has an output schema (which handles return values), 100% schema description coverage, and no complex behavioral traits, the description is minimally adequate. However, for a tool with 7 parameters and no annotations, it should ideally provide more context about when to use it versus sibling tools.

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 schema description coverage is 100%, so all parameters are documented in the schema itself. The description adds no additional parameter information beyond what's in the schema, which meets the baseline expectation when schema coverage is complete.

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 clearly states the verb ('List') and resource ('review comments on a pull request'), making the purpose immediately understandable. It doesn't explicitly distinguish from sibling tools like 'list_issue_comments' or 'list_pr_reviews', but the specificity is sufficient for basic understanding.

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 versus alternatives like 'list_pr_reviews' or 'list_issue_comments'. It doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server