pr-comment

Adds, edits, or deletes a comment on a pull request. Returns structured data with the comment URL, operation type, comment ID, and body echo.

SERVERDocker SOURCE@paretools/docker

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-dave-london-docker/pr-comment.md

WHAT IT DOES

What pr-comment does on Docker

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

RISK

Why pr-comment is rated Medium

This tool creates or modifies comment data on pull requests. While it includes a delete operation, comment deletion on platforms like GitHub is generally reversible (soft delete, recoverable from history) unlike destructive operations on critical data. The primary use cases (adding/editing) are clearly Write operations.

From the tool's definition Tool description states it 'Adds, edits, or deletes a comment on a pull request.' The operations 'adds' and 'edits' are reversible modifications to data (comments), placing it in the Write category.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pr-comment safely

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

pr-comment Rate-limited

pr-comment 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": {
    "pr-comment": {
      "limits": [
        {
          "counter": "pr-comment_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 Docker, apply this rule, and every pr-comment call is checked against it from then on.

FAQ

Questions about pr-comment

What does the pr-comment tool do? +

Adds, edits, or deletes a comment on a pull request. Returns structured data with the comment URL, operation type, comment ID, and body echo. It is categorised as a Write tool in the Docker MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pr-comment? +

Register the Docker MCP server in PolicyLayer and add a rule for pr-comment: 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 Docker. Nothing to install.

What risk level is pr-comment? +

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

Can I rate-limit pr-comment? +

Yes. Add a rate_limit block to the pr-comment 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 pr-comment completely? +

Set action: deny in the PolicyLayer policy for pr-comment. 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 pr-comment? +

pr-comment is provided by the Docker MCP server (@paretools/docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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