rini_python_code_execution · Rini MCP Server MCP

WHAT IT DOES

What rini_python_code_execution does on Rini MCP Server

AI agents invoke rini_python_code_execution to trigger actions in Rini MCP Server. 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 rini_python_code_execution needs a policy

This tool executes arbitrary Python code, which can perform any operation including file system access, network requests, data deletion, or system commands. The blast radius is critical as an AI agent could misuse this to run destructive or malicious code with no apparent sandboxing restrictions mentioned.

From the tool's definition 주어진 Python 코드를 실행하고 stdout에 출력된 것, stderr에 출력된 것, return code를 str로 만든 것을 반환합니다 (Executes given Python code and returns stdout, stderr, and return code)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rini_python_code_execution Rate-limited

rini_python_code_execution 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": {
    "rini_python_code_execution": {
      "limits": [
        {
          "counter": "rini_python_code_execution_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 Rini MCP Server, so you can run agents against it safely.

FAQ

Questions about rini_python_code_execution

What does the rini_python_code_execution tool do? +

주어진 Python 코드를 실행하고 stdout에 출력된 것, stderr에 출력된 것, return code를 str로 만든 것을 반환합니다. return value가 별도로 제공되지 않으므로 필요한 경우 함수 마지막에 꼭 반환하려는 값을 print 하세요. It is categorised as a Execute tool in the Rini MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on rini_python_code_execution? +

Register the Rini MCP Server MCP server in PolicyLayer and add a rule for rini_python_code_execution: 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 Rini MCP Server. Nothing to install.

What risk level is rini_python_code_execution? +

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

Can I rate-limit rini_python_code_execution? +

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

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

rini_python_code_execution is provided by the Rini MCP Server MCP server (mori-mmmm/rini-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.