resume_research · Python MCP Server Template MCP

WHAT IT DOES

What resume_research does on Python MCP Server Template

AI agents invoke resume_research to trigger actions in Python MCP Server Template. 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 resume_research needs a policy

The tool resumes a previously paused research task, which implies triggering an external process or operation. This falls under Execute since it initiates/continues an external operation. Confidence is moderate because the description is minimal and doesn't detail what the research task entails or what side effects it may have.

From the tool's definition 'Resume the paused research task' — triggers/restarts an external operation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

resume_research Rate-limited

resume_research 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": {
    "resume_research": {
      "limits": [
        {
          "counter": "resume_research_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 Python MCP Server Template, so you can run agents against it safely.

FAQ

Questions about resume_research

What does the resume_research tool do? +

Resume the paused research task. It is categorised as a Execute tool in the Python MCP Server Template MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on resume_research? +

Register the Python MCP Server Template MCP server in PolicyLayer and add a rule for resume_research: 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 MCP Server Template. Nothing to install.

What risk level is resume_research? +

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

Can I rate-limit resume_research? +

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

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

resume_research is provided by the Python MCP Server Template MCP server (raido-star/ridiculous). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.