Get comprehensive information about the current Revit model
AI agents call get_revit_model_info to retrieve information from MCP server for Revit - Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries information about a Revit model without modifying, executing code, or triggering external operations. It has no side effects beyond reading model metadata. The blast radius of misuse is minimal—an agent could only access data it shouldn't see, not modify or destroy it.
From the tool's definition Tool name 'get_revit_model_info' and description 'Get comprehensive information about the current Revit model' indicate data retrieval only.
Documented attack patterns abuse exactly the kind of access get_revit_model_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP server for Revit - Python, and nothing reaches the server without passing your rules. This is the rule we recommend for get_revit_model_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_revit_model_info": {}
}
} get_revit_model_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get comprehensive information about the current Revit model. It is categorised as a Read tool in the MCP server for Revit - Python MCP Server, which means it retrieves data without modifying state.
Register the MCP server for Revit - Python MCP server in PolicyLayer and add a rule for get_revit_model_info: 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 MCP server for Revit - Python. Nothing to install.
get_revit_model_info 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_revit_model_info 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_revit_model_info. 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_revit_model_info is provided by the MCP server for Revit - Python MCP server (mcp-servers-for-revit/mcp-server-for-revit-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP server for Revit - Python, 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 MCP server for Revit - Python tools catalogued and risk-classified — across an index of 43,000+ MCP servers.