Start multiple video generation jobs with controlled concurrency. Returns operation names for all jobs. Use this to generate multiple videos efficiently while respecting rate limits.
AI agents invoke start_batch_video_generation 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.
This tool executes an external AI service (Google's Veo 3.1) to generate videos based on user-provided parameters. The effects are not reversible in real-time and depend entirely on the arguments passed (number of jobs, concurrency, video parameters).
From the tool's definition Tool description states it 'Start[s] multiple video generation jobs' and 'Returns operation names for all jobs', indicating it triggers external operations (video generation via Google's Veo 3.1 model) whose effects depend on job parameters and concurrency…
Attacks that exploit this kind of access
Start multiple video generation jobs with controlled concurrency. Returns operation names for all jobs. Use this to generate multiple videos efficiently while respecting rate limits. 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.
Register the Veo 3 1 MCP Server MCP server in PolicyLayer and add a rule for start_batch_video_generation: 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.
start_batch_video_generation 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 start_batch_video_generation 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 start_batch_video_generation. 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.
start_batch_video_generation 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.
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