pull_request_review_write

Write operations (create, submit, delete) on pull request reviews.

SERVERGitHub SOURCEoci:ghcr.io/aifity/omnigit-mcp:0.5.0

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-aifity-omnigit-mcp/pull-request-review-write.md

WHAT IT DOES

What pull_request_review_write does on GitHub

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

RISK

Why pull_request_review_write is rated Medium

This tool performs create and submit operations on pull request reviews, which are reversible write actions. While 'delete' appears in the description, the primary operations are creating and submitting reviews—standard Write category actions. The tool modifies collaborative artifacts (PR reviews) but does not irreversibly destroy repository data or trigger financial consequences.

From the tool's definition Tool name explicitly states 'write' and description specifies 'Write operations (create, submit, delete) on pull request reviews.' The operations listed are create, submit, and delete.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pull_request_review_write safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pull_request_review_write, this is the rule to start with:

pull_request_review_write Rate-limited

pull_request_review_write 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": {
    "pull_request_review_write": {
      "limits": [
        {
          "counter": "pull_request_review_write_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every pull_request_review_write call is checked against it from then on.

FAQ

Questions about pull_request_review_write

What does the pull_request_review_write tool do? +

Write operations (create, submit, delete) on pull request reviews. It is categorised as a Write tool in the GitHub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pull_request_review_write? +

Register the GitHub MCP server in PolicyLayer and add a rule for pull_request_review_write: 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 pull_request_review_write? +

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

Can I rate-limit pull_request_review_write? +

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

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

pull_request_review_write 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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