Medium Risk

luma_generate_video_from_image

Generate AI video using reference images as start and/or end frames. This allows you to control the video by specifying what the first frame and/or last frame should look like. Luma will generate smooth motion between them. Use this when: - You have a specific image you want to animate - You want...

Risk signalsAccepts URL/endpoint input (callback_url)

Part of the Mcp Luma server.

luma_generate_video_from_image can modify Mcp Luma 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 luma_generate_video_from_image to create or modify resources in Mcp Luma. 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 luma_generate_video_from_image 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 Mcp Luma.

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

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

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so luma_generate_video_from_image 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 luma_generate_video_from_image tool do? +

Generate AI video using reference images as start and/or end frames. This allows you to control the video by specifying what the first frame and/or last frame should look like. Luma will generate smooth motion between them. Use this when: - You have a specific image you want to animate - You want to create a video transition between two images - You need precise control over the video's visual content At least one of start_image_url or end_image_url must be provided. Returns: Task ID and generated video information including URLs, dimensions, and thumbnail.. It is categorised as a Write tool in the Mcp Luma MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on luma_generate_video_from_image? +

Register the Mcp Luma MCP server in PolicyLayer and add a rule for luma_generate_video_from_image: 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 Luma. Nothing to install.

What risk level is luma_generate_video_from_image? +

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

Can I rate-limit luma_generate_video_from_image? +

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

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

luma_generate_video_from_image is provided by the Mcp Luma MCP server (acedatacloud-mcp/mcp-luma). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Luma tool call.

Deterministic rules across all 8 Mcp Luma tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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