This record as markdown: /tools/holdmybeer-gg-blend-ai/fill-faces.md
What fill_faces does on Blend Ai
AI agents use fill_faces to create or update resources in Blend Ai, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Blend Ai environment.
Why fill_faces is rated Medium
An AI agent can call fill_faces faster than any human can review: one bad instruction and it creates or modifies resources in Blend Ai by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs fill_faces safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Blend Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fill_faces, this is the rule to start with:
fill_faces 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Blend Ai, apply this rule, and every fill_faces call is checked against it from then on.
Questions about fill_faces
Fill selected edges with a face. It is categorised as a Write tool in the Blend Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Blend Ai MCP server in PolicyLayer and add a rule for fill_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 Blend Ai. Nothing to install.
fill_faces 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 fill_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 fill_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.
fill_faces is provided by the Blend Ai MCP server (holdmybeer-gg/blend-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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