Store or update room metadata for a specific Revit project in the local database. Rooms are linked to a project by project name. The project must exist before storing room data.
AI agents use store_room_data to create or update resources in Revit MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Revit MCP environment.
This tool creates or updates room metadata in a local database, which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. Severity is medium because incorrect room data could corrupt project metadata, but it is scoped to a local database and linked to a specific project.
From the tool's definition Store or update room metadata for a specific Revit project in the local database
Documented attack patterns abuse exactly the kind of access store_room_data gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Revit MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for store_room_data:
{
"version": "1",
"default": "deny",
"tools": {
"store_room_data": {
"limits": [
{
"counter": "store_room_data_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}store_room_data 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.
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Store or update room metadata for a specific Revit project in the local database. Rooms are linked to a project by project name. The project must exist before storing room data. It is categorised as a Write tool in the Revit MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Revit MCP server in PolicyLayer and add a rule for store_room_data: 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 Revit MCP. Nothing to install.
store_room_data is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the store_room_data 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 store_room_data. 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.
store_room_data is provided by the Revit MCP server (mcp-servers-for-revit/revit-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Revit MCP, 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.
25 Revit MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.