pr-ready · Python MCP: Risk & Policy

WHAT IT DOES

What pr-ready does on Python

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

WHY IT NEEDS A POLICY

Why pr-ready needs a policy

This tool modifies the state of a pull request (ready for review vs draft), which is a reversible write operation on a version control system. It does not delete data, execute code, or involve financial transactions. Misuse could prematurely expose unfinished work for review, but the action is reversible.

From the tool's definition Marks a pull request as ready for review (or converts it back to draft when undo=true)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

pr-ready Rate-limited

pr-ready 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-ready": {
      "limits": [
        {
          "counter": "pr-ready_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 Python, so you can run agents against it safely.

FAQ

Questions about pr-ready

What does the pr-ready tool do? +

Marks a pull request as ready for review (or converts it back to draft when undo=true). Returns structured data with PR number, state, URL, and resulting draft status. It is categorised as a Write tool in the Python 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-ready? +

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

What risk level is pr-ready? +

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

Can I rate-limit pr-ready? +

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

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

pr-ready is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

pr-ready is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →