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 MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
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. Intercept 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.
tools:
clip_video:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Vugola policy for all 8 tools.
Agents calling execute-class tools like clip_video have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
clip_video is one of the high-risk operations in Vugola. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
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.
Add a rule in your Intercept YAML policy under the tools section for clip_video. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Vugola MCP server.
clip_video is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the clip_video rule in your Intercept 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.
Set action: deny in the Intercept 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.
clip_video is provided by the Vugola MCP server (vugola-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept