vision.generate_fur
Groom fur in Blender; returns measured groom report or an explicit blocked state.
This record as markdown: /tools/visionmcp/vision.generate-fur.md
What vision.generate_fur does on Visionmcp
AI agents invoke vision.generate_fur to trigger actions in Visionmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why vision.generate_fur is rated High
The tool actively performs a grooming operation in Blender (an external 3D application), triggering an execution of a rendering/modelling operation. This is an external operation whose effects depend on the arguments passed. It is not purely reading data, nor is it destructive, financial, or a simple write — it executes a procedural action within Blender's environment.
From the tool's definition Groom fur in Blender; returns measured groom report or an explicit blocked state.
Attacks that exploit this kind of access
The rule that runs vision.generate_fur safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vision.generate_fur, this is the rule to start with:
vision.generate_fur stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Visionmcp, apply this rule, and every vision.generate_fur call is checked against it from then on.
Questions about vision.generate_fur
Groom fur in Blender; returns measured groom report or an explicit blocked state. It is categorised as a Execute tool in the Visionmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vision MCP server in PolicyLayer and add a rule for vision.generate_fur: 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 Visionmcp. Nothing to install.
vision.generate_fur is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the vision.generate_fur 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 vision.generate_fur. 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.
vision.generate_fur is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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