refine_3d_model

Server Meshy zyadhajaji/meshy-mcp

Category Execute

Risk class High

Parameters 00 required

WHAT IT DOES

What refine_3d_model does on Meshy

AI agents invoke refine_3d_model to trigger actions in Meshy. 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 refine_3d_model needs a policy

refine_3d_model triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

refine_3d_model Rate-limited

refine_3d_model 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": {
    "refine_3d_model": {
      "limits": [
        {
          "counter": "refine_3d_model_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, so you can run agents against it safely.

FAQ

Questions about refine_3d_model

What does the refine_3d_model tool do? +

Refine a preview 3D model to production quality using Meshy AI. Run this after generate_3d_model to get: • Higher polygon detail • PBR texture maps (base color, metallic, roughness, normal) • Production-ready GLB/FBX/OBJ files suitable for Unreal Engine, Unity, Blender, Three.js, or AR Requires a completed preview task ID from generate_3d_model. It is categorised as a Execute tool in the Meshy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on refine_3d_model? +

Register the Meshy MCP server in PolicyLayer and add a rule for refine_3d_model: 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. Nothing to install.

What risk level is refine_3d_model? +

refine_3d_model is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit refine_3d_model? +

Yes. Add a rate_limit block to the refine_3d_model 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 refine_3d_model completely? +

Set action: deny in the PolicyLayer policy for refine_3d_model. 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 refine_3d_model? +

refine_3d_model is provided by the Meshy MCP server (zyadhajaji/meshy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.