label-create · Python MCP: Risk & Policy

WHAT IT DOES

What label-create does on Python

AI agents use label-create 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 label-create needs a policy

The tool creates a new repository label, which is a reversible write operation. It modifies repository metadata (adds a label) but does not delete data or execute arbitrary code. The severity is medium because unauthorized label creation could clutter or misrepresent repository organization, but the blast radius is limited to label metadata rather than code or critical infrastructure.

From the tool's definition Tool description states it 'Creates a new repository label' — a create operation that modifies repository state by adding a new label artifact.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

label-create Rate-limited

label-create 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": {
    "label-create": {
      "limits": [
        {
          "counter": "label-create_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 label-create

What does the label-create tool do? +

Creates a new repository label. Returns structured data with label name, description, color, 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 label-create? +

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

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

Can I rate-limit label-create? +

Yes. Add a rate_limit block to the label-create 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 label-create completely? +

Set action: deny in the PolicyLayer policy for label-create. 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 label-create? +

label-create 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.