run_mmc_simulation | PolicyLayer

WHAT IT DOES

What run_mmc_simulation does on M/M/1 and M/M/c Queue Simulation Server

AI agents invoke run_mmc_simulation to trigger actions in M/M/1 and M/M/c Queue Simulation 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_mmc_simulation needs a policy

This tool triggers execution of an M/M/c queue simulation, which is a computational operation with effects that depend on input parameters (arrival rates, service rates, number of servers, etc.). While the simulation itself is deterministic and not destructive or financial, it performs actual computation and state changes within the simulation environment.

From the tool's definition Tool name 'run_mmc_simulation' indicates execution of a simulation, and context from sibling tools (run_simulation, run_multiple_simulations, run_mps_sim) confirms this server executes computational simulations using SimPy.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_mmc_simulation Rate-limited

run_mmc_simulation 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_mmc_simulation": {
      "limits": [
        {
          "counter": "run_mmc_simulation_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 M/M/1 and M/M/c Queue Simulation Server, so you can run agents against it safely.

FAQ

Questions about run_mmc_simulation

What does the run_mmc_simulation tool do? +

run_mmc_simulation. It is categorised as a Execute tool in the M/M/1 and M/M/c Queue Simulation 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_mmc_simulation? +

Register the M/M/1 and M/M/c Queue Simulation Server MCP server in PolicyLayer and add a rule for run_mmc_simulation: 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 M/M/1 and M/M/c Queue Simulation Server. Nothing to install.

What risk level is run_mmc_simulation? +

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

Can I rate-limit run_mmc_simulation? +

Yes. Add a rate_limit block to the run_mmc_simulation 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_mmc_simulation completely? +

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

run_mmc_simulation is provided by the M/M/1 and M/M/c Queue Simulation Server MCP server (kiyoung8/simulation_by_simpy_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.