新增:enable_motion_clip, motion_clip_params
AI agents invoke generate_auto_video to trigger actions in Auto Video Generator. 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.
This tool orchestrates video generation by executing multiple external operations (voice synthesis, subtitle rendering, video editing, motion clipping). It triggers compute-intensive external processes whose effects depend on the provided arguments.
From the tool's definition Tool name 'generate_auto_video' and server description mentions 'automatically adds subtitles, synthesizes voice, and edits video clips'; description notes 'enable_motion_clip, motion_clip_params' suggesting it triggers complex external processing pipelines
Attacks that exploit this kind of access
新增:enable_motion_clip, motion_clip_params. It is categorised as a Execute tool in the Auto Video Generator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Auto Video Generator MCP server in PolicyLayer and add a rule for generate_auto_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 Auto Video Generator. Nothing to install.
generate_auto_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 generate_auto_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.
Set action: deny in the PolicyLayer policy for generate_auto_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.
generate_auto_video is provided by the Auto Video Generator MCP server (zgmurder/auto_video_generator-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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