get_ngon_faces
AI agents call get_ngon_faces to retrieve information from BlenderMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_' prefix strongly indicates a read/query operation with no side effects. The tool appears to analyze and return information about mesh topology rather than modify geometry or execute arbitrary operations. While the description is empty (lowering confidence), the naming convention is a reliable indicator of read-only behavior.
From the tool's definition Tool name 'get_ngon_faces' suggests a query operation that retrieves or identifies n-gonal faces (polygons with more than 4 sides) in a 3D model.
Attacks that exploit this kind of access
get_ngon_faces. It is categorised as a Read tool in the BlenderMCP MCP Server, which means it retrieves data without modifying state.
Register the Blender MCP server in PolicyLayer and add a rule for get_ngon_faces: 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 BlenderMCP. Nothing to install.
get_ngon_faces is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_ngon_faces 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 get_ngon_faces. 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.
get_ngon_faces is provided by the Blender MCP server (shirshovdim/retopoflow_blender_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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