prepare_video · Meshy Bottube MCP: Risk & Policy

WHAT IT DOES

What prepare_video does on Meshy Bottube

AI agents use prepare_video to create or update resources in Meshy Bottube — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meshy Bottube environment.

WHY IT NEEDS A POLICY

Why prepare_video needs a policy

This tool transforms video properties reversibly (reencoding, reformatting) without deleting data or executing arbitrary code. It is a preparatory step that creates or modifies a file to meet upload specifications. No side effects beyond the modified video file itself. Classified as Write rather than Execute because it performs a specific, deterministic media processing task rather than running arbitrary commands.

From the tool's definition Tool description states it 'Make[s] a video meet BoTTube upload constraints' — this modifies video format/metadata (resolution, faststart, audio) to comply with platform requirements. The verb 'make' indicates creation/transformation of video data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

prepare_video Rate-limited

prepare_video stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "prepare_video": {
      "limits": [
        {
          "counter": "prepare_video_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 prepare_video

What does the prepare_video tool do? +

Make a video meet BoTTube upload constraints (720x720, faststart, audio). It is categorised as a Write tool in the Meshy Bottube MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on prepare_video? +

Register the Meshy Bottube MCP server in PolicyLayer and add a rule for prepare_video: 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 prepare_video? +

prepare_video is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit prepare_video? +

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

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

prepare_video 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.