get_review_comments

Get review threads on a pull request. Each thread contains logically grouped review comments made on the same code location during pull request reviews. Returns threads with metadata (isResolved, isOutdated, isCollapsed) and their associated comments. Use cursor-based pagination (perPage, after) ...

SERVERGitHub SOURCEoci:ghcr.io/aifity/omnigit-mcp:0.5.0
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-aifity-omnigit-mcp/get-review-comments.md

What get_review_comments does on GitHub

AI agents call get_review_comments to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_review_comments is rated Low

This tool only queries and retrieves existing pull request review data. No creation, modification, deletion, or execution of code/operations occurs. The metadata flags (isResolved, isOutdated, isCollapsed) are read attributes, not write actions. Blast radius is minimal — worst case an attacker gains visibility into code review discussions, which is a Read-level confidentiality risk, not integrity or availability.

From the tool's definition Tool retrieves review threads and comments on pull requests with no modification capability. Description states 'Get review threads' and 'Returns threads with metadata and their associated comments' — purely data retrieval operations.

Questions about get_review_comments

What does the get_review_comments tool do? +

Get review threads on a pull request. Each thread contains logically grouped review comments made on the same code location during pull request reviews. Returns threads with metadata (isResolved, isOutdated, isCollapsed) and their associated comments. Use cursor-based pagination (perPage, after) to control results. It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_review_comments? +

Register the GitHub MCP server in PolicyLayer and add a rule for get_review_comments: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GitHub. Nothing to install.

What risk level is get_review_comments? +

get_review_comments is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_review_comments? +

Yes. Add a rate_limit block to the get_review_comments rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_review_comments completely? +

Set action: deny in the PolicyLayer policy for get_review_comments. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_review_comments? +

get_review_comments is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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