refine_threat_model · Mipiti MCP Server MCP: Risk & Policy

WHAT IT DOES

What refine_threat_model does on Mipiti MCP Server

AI agents use refine_threat_model to create or update resources in Mipiti MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mipiti MCP Server environment.

WHY IT NEEDS A POLICY

Why refine_threat_model needs a policy

Based on the tool name and server context (Mipiti security posture platform for managing threat models), 'refine_threat_model' most likely modifies or updates an existing threat model, placing it in the Write category. Sibling tools like 'add_asset', 'add_component', etc. are all Write operations, suggesting this tool follows the same pattern. However, the empty description significantly lowers confidence.

From the tool's definition Tool name: 'refine_threat_model'; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

refine_threat_model Rate-limited

refine_threat_model 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": {
    "refine_threat_model": {
      "limits": [
        {
          "counter": "refine_threat_model_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 Mipiti MCP Server, so you can run agents against it safely.

FAQ

Questions about refine_threat_model

What does the refine_threat_model tool do? +

refine_threat_model. It is categorised as a Write tool in the Mipiti MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on refine_threat_model? +

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

What risk level is refine_threat_model? +

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

Can I rate-limit refine_threat_model? +

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

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

refine_threat_model is provided by the Mipiti MCP Server MCP server (mipiti/mipiti-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.