run_multiple_simulations

WHAT IT DOES

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

AI agents invoke run_multiple_simulations 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_multiple_simulations needs a policy

This tool executes simulations (computational operations) rather than merely querying or modifying stored data. It runs SimPy-based queuing system simulations with user-controlled seeds, making outcomes dependent on arguments. However, the severity is medium rather than high because effects are confined to simulation outputs without real-world operational impact, financial consequences, or data deletion.

From the tool's definition Tool name 'run_multiple_simulations' and description 'Run multiple simulation replications with different seeds' indicate execution of simulation operations with variable parameters (different seeds) that produce computational results with effects dependent…

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Verdict

run_multiple_simulations Rate-limited

run_multiple_simulations 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_multiple_simulations": {
      "limits": [
        {
          "counter": "run_multiple_simulations_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_multiple_simulations

What does the run_multiple_simulations tool do? +

Run multiple simulation replications with different seeds. 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_multiple_simulations? +

Register the M/M/1 and M/M/c Queue Simulation Server MCP server in PolicyLayer and add a rule for run_multiple_simulations: 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_multiple_simulations? +

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

Can I rate-limit run_multiple_simulations? +

Yes. Add a rate_limit block to the run_multiple_simulations 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_multiple_simulations completely? +

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

run_multiple_simulations 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.