get_pull_request_details · PR Reviewer MCP Server MCP

WHAT IT DOES

What get_pull_request_details does on PR Reviewer MCP Server

AI agents call get_pull_request_details to retrieve information from PR Reviewer MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

WHY IT NEEDS A POLICY

Why get_pull_request_details needs a policy

This tool retrieves pull request metadata/details from GitHub with no indication of modification, deletion, or code execution capabilities. The empty description is a minor confidence reduction, but the server's stated purpose (code review) and sibling tool patterns strongly indicate a read-only operation. No destructive, financial, or executable actions are possible.

From the tool's definition Tool name 'get_pull_request_details' and server context indicate data retrieval from GitHub PRs. Server description explicitly states 'inspecting PR diffs for code review' and 'browsing open pull requests'.

Attacks that exploit this kind of access

Questions about get_pull_request_details

What does the get_pull_request_details tool do? +

get_pull_request_details. It is categorised as a Read tool in the PR Reviewer MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_pull_request_details? +

Register the PR Reviewer MCP Server MCP server in PolicyLayer and add a rule for get_pull_request_details: 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 PR Reviewer MCP Server. Nothing to install.

What risk level is get_pull_request_details? +

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

Can I rate-limit get_pull_request_details? +

Yes. Add a rate_limit block to the get_pull_request_details 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_pull_request_details completely? +

Set action: deny in the PolicyLayer policy for get_pull_request_details. 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_pull_request_details? +

get_pull_request_details is provided by the PR Reviewer MCP Server MCP server (subhamyadav580/pr-reviewer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.