AI agents use georeference_ifc_model to create or update resources in Bonsai-mcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Bonsai-mcp environment.
The name 'georeference_ifc_model' suggests it modifies or sets georeferencing data on an IFC model, which is a Write operation. However, the description is empty so confidence is low. Based on sibling tools and context (IFC building model integration with Blender), this tool likely updates spatial reference information in the model.
From the tool's definition Tool name: georeference_ifc_model — empty description, inferred from name only
Documented attack patterns abuse exactly the kind of access georeference_ifc_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bonsai-mcp, and nothing reaches the server without passing your rules. This is the rule we recommend for georeference_ifc_model:
{
"version": "1",
"default": "deny",
"tools": {
"georeference_ifc_model": {
"limits": [
{
"counter": "georeference_ifc_model_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}georeference_ifc_model 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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georeference_ifc_model. It is categorised as a Write tool in the Bonsai-mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Bonsai- MCP server in PolicyLayer and add a rule for georeference_ifc_model: 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 Bonsai-mcp. Nothing to install.
georeference_ifc_model 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 georeference_ifc_model 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 georeference_ifc_model. 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.
georeference_ifc_model is provided by the Bonsai- MCP server (jotaderodriguez/bonsai_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bonsai-mcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 Bonsai-mcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.