Medium Risk

lip_sync_video

Lip-sync audio onto a face in a video (Kling). Three steps you orchestrate: (1) action="identify-face" with video_url to detect faces (video must be MP4/MOV, 2-60 seconds, <=100MB, 720p or 1080p); (2) action="create" with session_id + a face_id + audio (sound_file as a base64 data URI, or an audi...

Risk signalsHigh parameter count (12 properties)

Part of the Switch server.

lip_sync_video can modify Switch data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use lip_sync_video to create or modify resources in Switch. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call lip_sync_video repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Switch.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "lip_sync_video": {
      "limits": [
        {
          "counter": "lip_sync_video_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Browse the full MCP Attack Database →

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

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

What does the lip_sync_video tool do? +

Lip-sync audio onto a face in a video (Kling). Three steps you orchestrate: (1) action="identify-face" with video_url to detect faces (video must be MP4/MOV, 2-60 seconds, <=100MB, 720p or 1080p); (2) action="create" with session_id + a face_id + audio (sound_file as a base64 data URI, or an audio_id) + timing IN MILLISECONDS (sound_start_time, sound_end_time, sound_insert_time) + optional speech_volume/original_audio_volume (0-100); (3) action="status" with the task_id to poll — returns a branded SwitchApp view_url when done. Charges credits on create; failed jobs are refunded.. It is categorised as a Write tool in the Switch MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on lip_sync_video? +

Register the Switch MCP server in PolicyLayer and add a rule for lip_sync_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 Switch. Nothing to install.

What risk level is lip_sync_video? +

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

Can I rate-limit lip_sync_video? +

Yes. Add a rate_limit block to the lip_sync_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 lip_sync_video completely? +

Set action: deny in the PolicyLayer policy for lip_sync_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 lip_sync_video? +

lip_sync_video is provided by the Switch MCP server (https://mcp.switchapp.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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