Save the active Revit document. If file_path is omitted, saves the document in place. If file_path is provided, performs a Save As to the new location. Args: file_path: Optional path for Save As. If omitted, saves in place.
AI agents use save_document to create or update resources in MCP server for Revit - Python — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP server for Revit - Python environment.
This tool modifies Revit model files, which are reversible (previous versions can be recovered or edits undone within Revit), placing it in Write rather than Destructive.
From the tool's definition Tool description explicitly states 'Save the active Revit document' and 'performs a Save As to the new location', indicating persistent modification of files on disk.
Documented attack patterns abuse exactly the kind of access save_document 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 save_document:
{
"version": "1",
"default": "deny",
"tools": {
"save_document": {
"limits": [
{
"counter": "save_document_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} save_document 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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Save the active Revit document. If file_path is omitted, saves the document in place. If file_path is provided, performs a Save As to the new location. Args: file_path: Optional path for Save As. If omitted, saves in place. It is categorised as a Write tool in the MCP server for Revit - Python MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP server for Revit - Python MCP server in PolicyLayer and add a rule for save_document: 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.
save_document 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 save_document 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 save_document. 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.
save_document 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.