AI agents use update_window to create or update resources in IFC Bonsai MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your IFC Bonsai MCP environment.
The tool name 'update_window' and the server's stated purpose to 'create, and edit IFC models' strongly indicate this modifies IFC building data reversibly. Window properties in IFC models can be edited and reverted, making this a Write operation rather than Destructive.
From the tool's definition Tool name 'update_window' combined with server context that 'creates and edits IFC models'; sibling tools include create_door, create_slab, create_roof, indicating this server performs model creation/modification.
Documented attack patterns abuse exactly the kind of access update_window gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and IFC Bonsai MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for update_window:
{
"version": "1",
"default": "deny",
"tools": {
"update_window": {
"limits": [
{
"counter": "update_window_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_window 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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update_window. It is categorised as a Write tool in the IFC Bonsai MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the IFC Bonsai MCP server in PolicyLayer and add a rule for update_window: 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 IFC Bonsai MCP. Nothing to install.
update_window 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 update_window 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 update_window. 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.
update_window is provided by the IFC Bonsai MCP server (show2instruct/ifc-bonsai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 52 IFC Bonsai MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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52 IFC Bonsai MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.