generate_3d_from_image · Meshy Youtube MCP: Risk & Policy

WHAT IT DOES

What generate_3d_from_image does on Meshy Youtube

AI agents invoke generate_3d_from_image to trigger actions in Meshy Youtube. 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 IT NEEDS A POLICY

Why generate_3d_from_image needs a policy

This tool initiates an external compute operation (3D model generation from an image) on a third-party service (Meshy). It is not a simple read or write of local data; it executes a remote AI pipeline that produces artifacts and likely consumes API credits. It falls under Execute as it triggers an external operation whose effects depend on the input arguments.

From the tool's definition 'Image-to-3D: a photo/render (public URL or local file path) -> textured' — triggers an external 3D model generation operation on Meshy's platform using an input image

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_3d_from_image Rate-limited

generate_3d_from_image 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_3d_from_image": {
      "limits": [
        {
          "counter": "generate_3d_from_image_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Meshy Youtube, so you can run agents against it safely.

FAQ

Questions about generate_3d_from_image

What does the generate_3d_from_image tool do? +

Image-to-3D: a photo/render (public URL or local file path) -> textured. It is categorised as a Execute tool in the Meshy Youtube MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on generate_3d_from_image? +

Register the Meshy Youtube MCP server in PolicyLayer and add a rule for generate_3d_from_image: 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 Meshy Youtube. Nothing to install.

What risk level is generate_3d_from_image? +

generate_3d_from_image is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit generate_3d_from_image? +

Yes. Add a rate_limit block to the generate_3d_from_image 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.

How do I block generate_3d_from_image completely? +

Set action: deny in the PolicyLayer policy for generate_3d_from_image. 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.

What MCP server provides generate_3d_from_image? +

generate_3d_from_image is provided by the Meshy Youtube MCP server (scottcjn/meshy-youtube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.