Medium Risk

create_pr_review

Submit PR reviews with comments and approval/rejection.

How to control create_pr_review ↓

What create_pr_review does on GitHub Repos Manager MCP Server

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

Medium Risk

Why create_pr_review needs a policy

This tool creates or modifies review records on pull requests, which are data artifacts that can be changed, updated, or deleted. While reviews influence code merging decisions, the action itself (submitting a review) is reversible and does not directly execute code, delete data, or move money. It fits the Write category as it creates new data (review comments/approval status) in a reversible manner.

From the tool's definition Tool description states 'Submit PR reviews with comments and approval/rejection' - directly modifies PR state through review submission, a reversible write operation.

Documented attack patterns abuse exactly the kind of access create_pr_review gives an agent:

How to control create_pr_review

PolicyLayer is an MCP gateway — it sits between your AI agents and GitHub Repos Manager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_pr_review:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_pr_review": {
      "limits": [
        {
          "counter": "create_pr_review_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_pr_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.

  1. Create a free account and register GitHub Repos Manager MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about create_pr_review

What does the create_pr_review tool do? +

Submit PR reviews with comments and approval/rejection. It is categorised as a Write tool in the GitHub Repos Manager 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 create_pr_review? +

Register the GitHub Repos Manager MCP Server MCP server in PolicyLayer and add a rule for create_pr_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 GitHub Repos Manager MCP Server. Nothing to install.

What risk level is create_pr_review? +

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

Can I rate-limit create_pr_review? +

Yes. Add a rate_limit block to the create_pr_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_pr_review completely? +

Set action: deny in the PolicyLayer policy for create_pr_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_pr_review? +

create_pr_review is provided by the GitHub Repos Manager MCP Server MCP server (kurdin/github-repos-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GitHub Repos Manager MCP Server tool call.

Start from GitHub Repos Manager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

84 GitHub Repos Manager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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