Medium Risk

set_simulation_control

set_simulation_control

How to control set_simulation_control ↓

What set_simulation_control does on Openstudio

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

Medium Risk

Why set_simulation_control needs a policy

Based on the naming convention 'set_*' and the server context of OpenStudio building energy simulation, this tool likely configures simulation control parameters (e.g., run periods, timesteps, convergence limits). This is a Write operation — modifying model settings reversibly. Confidence is lowered due to the empty description.

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

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

How to control set_simulation_control

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_simulation_control": {
      "limits": [
        {
          "counter": "set_simulation_control_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

set_simulation_control 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.

  1. Create a free account and register Openstudio — 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.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about set_simulation_control

What does the set_simulation_control tool do? +

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

How do I enforce a policy on set_simulation_control? +

Register the Openstudio MCP server in PolicyLayer and add a rule for set_simulation_control: 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 Openstudio. Nothing to install.

What risk level is set_simulation_control? +

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

Can I rate-limit set_simulation_control? +

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

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

set_simulation_control is provided by the Openstudio MCP server (natlabrockies/openstudio-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Openstudio tool call.

Start from Openstudio, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

146 Openstudio tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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