add_comment_to_pending_review

Add review comment to the requester's latest pending pull request review

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/add-comment-to-pending-review.md

WHAT IT DOES

What add_comment_to_pending_review does on GitHub

AI agents use add_comment_to_pending_review 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 add_comment_to_pending_review is rated Medium

This tool creates new comment data on a pending pull request review, which is a reversible write operation. It modifies the review but doesn't execute code, delete data, or move money. Severity is medium because malicious comments could disrupt collaboration or inject misleading information, but the blast radius is limited to review comments on a single PR.

From the tool's definition add_comment_to_pending_review - creates/adds a comment to a pull request review, which modifies the review state reversibly

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_comment_to_pending_review 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 add_comment_to_pending_review, this is the rule to start with:

add_comment_to_pending_review Rate-limited

add_comment_to_pending_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": {
    "add_comment_to_pending_review": {
      "limits": [
        {
          "counter": "add_comment_to_pending_review_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 add_comment_to_pending_review call is checked against it from then on.

FAQ

Questions about add_comment_to_pending_review

What does the add_comment_to_pending_review tool do? +

Add review comment to the requester's latest pending pull request review. 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 add_comment_to_pending_review? +

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

What risk level is add_comment_to_pending_review? +

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

Can I rate-limit add_comment_to_pending_review? +

Yes. Add a rate_limit block to the add_comment_to_pending_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 add_comment_to_pending_review completely? +

Set action: deny in the PolicyLayer policy for add_comment_to_pending_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 add_comment_to_pending_review? +

add_comment_to_pending_review 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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