Medium Risk

video_generate

Generate a 5-second video from a prompt using Kling v1.6 Pro. ($0.05/video)

Part of the Iteratools server.

video_generate can modify Iteratools data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use video_generate to create or modify resources in Iteratools. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call video_generate repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Iteratools.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "video_generate": {
      "limits": [
        {
          "counter": "video_generate_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Iteratools policy for all 13 tools.

Get this rule live on your own Iteratools server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access video_generate gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so video_generate only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the video_generate tool do? +

Generate a 5-second video from a prompt using Kling v1.6 Pro. ($0.05/video). It is categorised as a Write tool in the Iteratools MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on video_generate? +

Register the Iteratools MCP server in PolicyLayer and add a rule for video_generate: 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 Iteratools. Nothing to install.

What risk level is video_generate? +

video_generate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit video_generate? +

Yes. Add a rate_limit block to the video_generate 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 video_generate completely? +

Set action: deny in the PolicyLayer policy for video_generate. 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 video_generate? +

video_generate is provided by the Iteratools MCP server (iterasoft/iteratools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Iteratools tool call.

Deterministic rules across all 13 Iteratools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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