pr-reopen · Python MCP: Risk & Policy

WHAT IT DOES

What pr-reopen does on Python

AI agents use pr-reopen 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-reopen needs a policy

Reopening a pull request modifies its state from closed to open, which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. The blast radius is medium since it could reopen PRs unintentionally, but the action is reversible.

From the tool's definition Reopens a previously closed pull request, optionally with a comment. Returns structured data with PR number, state, and URL.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

pr-reopen Rate-limited

pr-reopen 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-reopen": {
      "limits": [
        {
          "counter": "pr-reopen_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-reopen

What does the pr-reopen tool do? +

Reopens a previously closed pull request, optionally with a comment. Returns structured data with PR number, state, and URL. 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-reopen? +

Register the Python MCP server in PolicyLayer and add a rule for pr-reopen: 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-reopen? +

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

Can I rate-limit pr-reopen? +

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

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

pr-reopen 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-reopen 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.

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