run_threat_modeling · Sentinel MCP Server MCP: Risk & Policy

WHAT IT DOES

What run_threat_modeling does on Sentinel MCP Server

AI agents invoke run_threat_modeling to trigger actions in Sentinel 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 run_threat_modeling needs a policy

This tool executes an external security analysis process (threat modeling engine) whose output depends on the code context provided as arguments. While it does not directly modify systems or delete data, it runs code/processes whose effects and recommendations could lead to downstream security decisions.

From the tool's definition The tool 'run_threat_modeling' with description 'Generate a STRIDE Threat Model (AI-Powered) based on code context' executes an external analysis operation via Docker-based tools.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_threat_modeling Rate-limited

run_threat_modeling 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_threat_modeling": {
      "limits": [
        {
          "counter": "run_threat_modeling_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 Sentinel MCP Server, so you can run agents against it safely.

FAQ

Questions about run_threat_modeling

What does the run_threat_modeling tool do? +

Generate a STRIDE Threat Model (AI-Powered) based on code context. It is categorised as a Execute tool in the Sentinel 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 run_threat_modeling? +

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

What risk level is run_threat_modeling? +

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

Can I rate-limit run_threat_modeling? +

Yes. Add a rate_limit block to the run_threat_modeling 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_threat_modeling completely? +

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

run_threat_modeling is provided by the Sentinel MCP Server MCP server (pranjal-lnct/scurity-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.