run_python_example · Funky Junction MCP: Risk & Policy

WHAT IT DOES

What run_python_example does on Funky Junction

AI agents invoke run_python_example to trigger actions in Funky Junction. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why run_python_example needs a policy

This tool executes Python code, which falls under the Execute category. The severity is high because: (1) it can trigger complex simulations and optimizations with unpredictable computational effects, (2) it operates in a domain (quantum circuit design and EM simulation) where execution errors could corrupt design data or waste significant computational resources, and (3) the empty description limits visibility into…

From the tool's definition Tool name 'run_python_example' indicates execution of Python code. In the context of Qiskit Metal and Octave/OpenEMS simulation tools, running Python examples will execute arbitrary code that can modify quantum circuit designs, trigger electromagnetic…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_python_example Rate-limited

run_python_example stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_python_example": {
      "limits": [
        {
          "counter": "run_python_example_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Funky Junction, so you can run agents against it safely.

FAQ

Questions about run_python_example

What does the run_python_example tool do? +

run_python_example. It is categorised as a Execute tool in the Funky Junction MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_python_example? +

Register the Funky Junction MCP server in PolicyLayer and add a rule for run_python_example: 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 Funky Junction. Nothing to install.

What risk level is run_python_example? +

run_python_example is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_python_example? +

Yes. Add a rate_limit block to the run_python_example 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 run_python_example completely? +

Set action: deny in the PolicyLayer policy for run_python_example. 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 run_python_example? +

run_python_example is provided by the Funky Junction MCP server (paulgoldschmidt/qsim-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.