update_pull_request · GitHub MCP Server MCP: Risk & Policy

WHAT IT DOES

What update_pull_request does on GitHub MCP Server

AI agents use update_pull_request to create or update resources in GitHub MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub MCP Server environment.

WHY IT NEEDS A POLICY

Why update_pull_request needs a policy

This tool creates or modifies pull request data reversibly. While the empty description limits certainty, the tool name and server context indicate it performs write operations on PR metadata. Severity is high because a misbehaving AI agent could modify important pull requests across repositories, affecting code review workflows, but modifications are reversible (unlike destructive operations).

From the tool's definition Tool name 'update_pull_request' indicates modification of pull request data. Description is empty, but the GitHub MCP Server provides 87 tools for comprehensive interaction with the GitHub API and the sibling tools include create_issue, create_pr_review,…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_pull_request Rate-limited

update_pull_request stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_pull_request": {
      "limits": [
        {
          "counter": "update_pull_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches GitHub MCP Server, so you can run agents against it safely.

FAQ

Questions about update_pull_request

What does the update_pull_request tool do? +

update_pull_request. It is categorised as a Write tool in the GitHub MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_pull_request? +

Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for update_pull_request: 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 MCP Server. Nothing to install.

What risk level is update_pull_request? +

update_pull_request is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_pull_request? +

Yes. Add a rate_limit block to the update_pull_request 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 update_pull_request completely? +

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

update_pull_request is provided by the GitHub MCP Server MCP server (software-engineer-mj/github-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.