AI agents invoke videoInference to trigger actions in Runware 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.
The tool name 'videoInference' strongly suggests it generates or processes video using an AI model, which constitutes executing an external operation (API call triggering compute-intensive video generation). Sibling tools like 'imageInference' and 'imageUpscale' confirm this pattern. The description is empty, lowering confidence slightly, but the context makes Execute the most appropriate category.
From the tool's definition Tool name 'videoInference' on a server described as enabling 'lightning fast image and video generation using the Runware API' with 'tools for inference, upscaling, background removal, and more.'
Documented attack patterns abuse exactly the kind of access videoInference gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Runware MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for videoInference:
{
"version": "1",
"default": "deny",
"tools": {
"videoInference": {
"limits": [
{
"counter": "videoinference_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}videoInference 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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videoInference. It is categorised as a Execute tool in the Runware MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Runware MCP Server MCP server in PolicyLayer and add a rule for videoInference: 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 Runware MCP Server. Nothing to install.
videoInference 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 videoInference 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 videoInference. 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.
videoInference is provided by the Runware MCP Server MCP server (runware/mcp-runware). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Runware 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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11 Runware MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.