Save the current Rhino document to its existing file path.
AI agents use save_document to create or update resources in GOLEM-3DMCP-Rhino- — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GOLEM-3DMCP-Rhino- environment.
This tool creates or modifies data (a document file) in a reversible manner. While the save operation persists changes to disk, the document itself can typically be edited further, reverted via version control, or recovered.
From the tool's definition Tool name is 'save_document' and description states 'Save the current Rhino document to its existing file path.' The action modifies the file system by persisting the current state of a Rhino document.
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 GOLEM-3DMCP-Rhino-, 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 current Rhino document to its existing file path. It is categorised as a Write tool in the GOLEM-3DMCP-Rhino- MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GOLEM-3DMCP-Rhino- 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 GOLEM-3DMCP-Rhino-. 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 GOLEM-3DMCP-Rhino- MCP server (thekinghippopotamus/golem-3dmcp-rhino-). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GOLEM-3DMCP-Rhino-, 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.
89 GOLEM-3DMCP-Rhino- tools catalogued and risk-classified — across an index of 43,000+ MCP servers.