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clip_video

Start a video-clipping job. Ask the user for aspect_ratio and caption_style if they're not given. If the user says 'just pick,' default to aspect_ratio '9:16' and caption_style 'minimalist'. Videos must be 2–180 minutes long. Jobs take 10–30 minutes; Vugola will email the user when done, and the ...

Part of the Vugola server.

clip_video can trigger actions in Vugola, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke clip_video to trigger processes or run actions in Vugola. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

clip_video can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "clip_video": {
      "limits": [
        {
          "counter": "clip_video_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access clip_video gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so clip_video only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the clip_video tool do? +

Start a video-clipping job. Ask the user for aspect_ratio and caption_style if they're not given. If the user says 'just pick,' default to aspect_ratio '9:16' and caption_style 'minimalist'. Videos must be 2–180 minutes long. Jobs take 10–30 minutes; Vugola will email the user when done, and the agent can check status via get_clip_status.. It is categorised as a Execute tool in the Vugola MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on clip_video? +

Register the Vugola MCP server in PolicyLayer and add a rule for clip_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 Vugola. Nothing to install.

What risk level is clip_video? +

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

Can I rate-limit clip_video? +

Yes. Add a rate_limit block to the clip_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 clip_video completely? +

Set action: deny in the PolicyLayer policy for clip_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 clip_video? +

clip_video is provided by the Vugola MCP server (vugola-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vugola tool call.

Deterministic rules across all 8 Vugola tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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