AI agents call list_lighting_loads to retrieve information from OpenStudio MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve or list lighting load information from building energy models without modifying data or triggering external operations. Even if misused by an AI agent, listing lighting loads carries minimal risk—it only exposes read-only inspection of model parameters. Confidence is reduced slightly due to the empty description, but the naming convention and peer tools strongly indicate a Read operation.
From the tool's definition Tool name 'list_lighting_loads' indicates retrieval of lighting load data from an OpenStudio model. No description provided, but the name and context of sibling tools (get_building_info, get_model_summary, get_space_details) suggest this queries model…
Documented attack patterns abuse exactly the kind of access list_lighting_loads gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenStudio MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_lighting_loads:
{
"version": "1",
"default": "deny",
"tools": {
"list_lighting_loads": {}
}
}list_lighting_loads is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_lighting_loads. It is categorised as a Read tool in the OpenStudio MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenStudio MCP Server MCP server in PolicyLayer and add a rule for list_lighting_loads: 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 MCP Server. Nothing to install.
list_lighting_loads is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_lighting_loads 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.
Set action: deny in the PolicyLayer policy for list_lighting_loads. 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.
list_lighting_loads is provided by the OpenStudio MCP Server MCP server (roruizf/openstudio-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenStudio MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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20 OpenStudio MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.