animate_to_bottube · Meshy Bottube MCP: Risk & Policy

WHAT IT DOES

What animate_to_bottube does on Meshy Bottube

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

This tool executes a chained sequence of external operations (rigging, animating, rendering) on a third-party service (Meshy), which constitutes triggering external operations with effects dependent on the arguments provided. It spans Write (creates animated content) and Execute (runs an automated pipeline), and Execute is the more severe applicable category here.

From the tool's definition One-shot: a humanoid model -> Meshy rig -> animate (action_id) -> render — triggers a multi-step external pipeline involving rigging, animation, and rendering operations

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

animate_to_bottube Rate-limited

animate_to_bottube 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": {
    "animate_to_bottube": {
      "limits": [
        {
          "counter": "animate_to_bottube_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 Bottube, so you can run agents against it safely.

FAQ

Questions about animate_to_bottube

What does the animate_to_bottube tool do? +

One-shot: a humanoid model -> Meshy rig -> animate (action_id) -> render. It is categorised as a Execute tool in the Meshy Bottube MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on animate_to_bottube? +

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

What risk level is animate_to_bottube? +

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

Can I rate-limit animate_to_bottube? +

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

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

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