create_pull_request_review · Server Puppeteer MCP

WHAT IT DOES

What create_pull_request_review does on Server Puppeteer

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

WHY IT NEEDS A POLICY

Why create_pull_request_review needs a policy

This tool creates new data (a pull request review) which is reversible—reviews can be edited or deleted. It does not execute arbitrary code, delete data irreversibly, or move money. The blast radius is medium because a malicious agent could create misleading or spam reviews to disrupt workflows, but this is not as severe as destructive operations.

From the tool's definition Tool name 'create_pull_request_review' and description 'Create a review on a pull request' indicate creation of a new resource (a review) that modifies state of a pull request.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_pull_request_review Rate-limited

create_pull_request_review 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": {
    "create_pull_request_review": {
      "limits": [
        {
          "counter": "create_pull_request_review_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 Server Puppeteer, so you can run agents against it safely.

FAQ

Questions about create_pull_request_review

What does the create_pull_request_review tool do? +

Create a review on a pull request. It is categorised as a Write tool in the Server Puppeteer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_pull_request_review? +

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

What risk level is create_pull_request_review? +

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

Can I rate-limit create_pull_request_review? +

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

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

create_pull_request_review is provided by the Server Puppeteer MCP server (@hisma/server-puppeteer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.