High Risk →

control_simulation

Control SUMO simulation (connect, step, disconnect).

How to control control_simulation ↓

AI agents invoke control_simulation to trigger actions in SUMO-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.

High Risk

This tool actively controls an external simulation process (connect, step, disconnect). These are side-effectful operations that drive simulation state forward and interact with the SUMO/TraCI runtime. It spans Execute territory as it triggers external operations whose effects depend on arguments.

From the tool's definition Control SUMO simulation (connect, step, disconnect) — triggers external simulation operations including connecting to, stepping through, and disconnecting from a live traffic simulation via TraCI

Documented attack patterns abuse exactly the kind of access control_simulation gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and SUMO-MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for control_simulation:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "control_simulation": {
      "limits": [
        {
          "counter": "control_simulation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

control_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.

  1. Create a free account and register SUMO-MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the control_simulation tool do? +

Control SUMO simulation (connect, step, disconnect). It is categorised as a Execute tool in the SUMO-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 control_simulation? +

Register the SUMO-MCP Server MCP server in PolicyLayer and add a rule for control_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 SUMO-MCP Server. Nothing to install.

What risk level is control_simulation? +

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

Can I rate-limit control_simulation? +

Yes. Add a rate_limit block to the control_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 control_simulation completely? +

Set action: deny in the PolicyLayer policy for control_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 control_simulation? +

control_simulation is provided by the SUMO-MCP Server MCP server (xrds76354/sumo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SUMO-MCP Server tool call.

Deterministic rules across all 10 SUMO-MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

10 SUMO-MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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