extend_video · Veo 3 1 MCP Server MCP: Risk & Policy

WHAT IT DOES

What extend_video does on Veo 3 1 MCP Server

AI agents invoke extend_video to trigger actions in Veo 3 1 MCP Server. 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.

WHY IT NEEDS A POLICY

Why extend_video needs a policy

This tool executes an API call to an external AI service that generates new content based on provided inputs. The operation's outcome depends on the arguments (which video, how many seconds). While not destructive (the original video remains), not financial, and not mere data retrieval, it actively triggers a generative computation outside the agent's control.

From the tool's definition Tool extends videos by calling Google's Veo 3.1 API to generate additional frames. It 'extend[s] a Veo-generated video by additional seconds' - this triggers an external machine learning service to perform computational work with effects dependent on the…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

extend_video Rate-limited

extend_video stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "extend_video": {
      "limits": [
        {
          "counter": "extend_video_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Veo 3 1 MCP Server, so you can run agents against it safely.

FAQ

Questions about extend_video

What does the extend_video tool do? +

Extend a Veo-generated video by additional seconds. Input video must be from a previous Veo generation (not an arbitrary video). It is categorised as a Execute tool in the Veo 3 1 MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on extend_video? +

Register the Veo 3 1 MCP Server MCP server in PolicyLayer and add a rule for extend_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 Veo 3 1 MCP Server. Nothing to install.

What risk level is extend_video? +

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

Can I rate-limit extend_video? +

Yes. Add a rate_limit block to the extend_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 extend_video completely? +

Set action: deny in the PolicyLayer policy for extend_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 extend_video? +

extend_video is provided by the Veo 3 1 MCP Server MCP server (waimakers/veo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.