AI agents invoke text_to_video to trigger actions in Imagenx 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.
Based on the server description, text_to_video generates video content by calling external AI providers. This triggers external operations with resource consumption implications. The description is empty, lowering confidence, but the tool name and server context strongly suggest it executes an AI generation pipeline on external services.
From the tool's definition Tool name 'text_to_video' on a server described as supporting 'text/image-to-video generation' through external providers like Doubao and Aliyun
Documented attack patterns abuse exactly the kind of access text_to_video gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Imagenx MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for text_to_video:
{
"version": "1",
"default": "deny",
"tools": {
"text_to_video": {
"limits": [
{
"counter": "text_to_video_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}text_to_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.
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text_to_video. It is categorised as a Execute tool in the Imagenx MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Imagenx MCP Server MCP server in PolicyLayer and add a rule for text_to_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 Imagenx MCP Server. Nothing to install.
text_to_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 text_to_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 text_to_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.
text_to_video is provided by the Imagenx MCP Server MCP server (newtoolai/imagenx). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Imagenx MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 Imagenx MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.