Generate a video from a text prompt
AI agents invoke generateVideoFromText to trigger actions in MCP Video Generation with Veo2. 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 invokes an external compute-intensive operation (Google Veo2 video generation), making it Execute category. It is not merely writing a record but triggering a real-time generation pipeline. Severity is high because misuse could generate large volumes of video content, incur significant API costs, or produce harmful/inappropriate video material at scale.
From the tool's definition 'Generate a video from a text prompt' — triggers an external AI video generation operation (Google Veo2) whose output and resource consumption depend on the provided arguments
Documented attack patterns abuse exactly the kind of access generateVideoFromText gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Video Generation with Veo2, and nothing reaches the server without passing your rules. This is the rule we recommend for generateVideoFromText:
{
"version": "1",
"default": "deny",
"tools": {
"generateVideoFromText": {
"limits": [
{
"counter": "generatevideofromtext_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}generateVideoFromText 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.
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Generate a video from a text prompt. It is categorised as a Execute tool in the MCP Video Generation with Veo2 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Video Generation with Veo2 MCP server in PolicyLayer and add a rule for generateVideoFromText: 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 MCP Video Generation with Veo2. Nothing to install.
generateVideoFromText 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 generateVideoFromText 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 generateVideoFromText. 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.
generateVideoFromText is provided by the MCP Video Generation with Veo2 MCP server (mario-andreschak/mcp-veo2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Video Generation with Veo2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 MCP Video Generation with Veo2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.