Return tail of OpenStudio or EnergyPlus log output for a simulation
AI agents call get_run_logs to retrieve information from Openstudio without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns existing log output from a completed or running simulation. It performs a read-only query operation that does not create, modify, delete, or execute any changes to the simulation or system. The worst case misuse would be information disclosure of simulation logs, which has minimal blast radius.
From the tool's definition Tool name 'get_run_logs' and description 'Return tail of OpenStudio or EnergyPlus log output for a simulation' indicates retrieval of log data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_run_logs gives an agent:
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 get_run_logs:
{
"version": "1",
"default": "deny",
"tools": {
"get_run_logs": {}
}
}get_run_logs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return tail of OpenStudio or EnergyPlus log output for a simulation. It is categorised as a Read tool in the Openstudio MCP Server, which means it retrieves data without modifying state.
Register the Openstudio MCP server in PolicyLayer and add a rule for get_run_logs: 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.
get_run_logs 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 get_run_logs 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 get_run_logs. 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.
get_run_logs 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.
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.