vision.generate_lods
Generate measured LODs; report blender_used=false when Blender is blocked.
This record as markdown: /tools/visionmcp/vision.generate-lods.md
What vision.generate_lods does on Visionmcp
AI agents invoke vision.generate_lods 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_lods is rated High
The tool actively generates LOD (Level of Detail) assets, which involves running a computational process (potentially Blender). This is an Execute-category action as it triggers external operations whose effects depend on arguments. It is not purely a read, and while it creates artifacts (Write), the execution of a rendering/processing pipeline is the dominant characteristic.
From the tool's definition 'Generate measured LODs' — triggers a generation/computation process (likely invoking Blender or a similar 3D tool) to produce Level of Detail assets
Attacks that exploit this kind of access
The rule that runs vision.generate_lods 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_lods, this is the rule to start with:
vision.generate_lods 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_lods call is checked against it from then on.
Questions about vision.generate_lods
Generate measured LODs; report blender_used=false when Blender is blocked. 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_lods: 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_lods 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_lods 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_lods. 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_lods 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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