luma_get_generation

THE RISK

Low Risk

Why luma_get_generation needs a policy

This tool retrieves metadata or status information about a previously created generation. It performs a query/fetch operation with no capability to modify, delete, or execute actions. The blast radius of misuse is minimal—an attacker gains only read access to generation details they may already have identifiers for.

From the tool's definition Tool name 'luma_get_generation' and description 'Gets details for a specific Luma AI generation' indicate retrieval of existing data without modification or side effects.

Documented attack patterns abuse exactly the kind of access luma_get_generation gives an agent:

POLICY

How to control luma_get_generation

PolicyLayer is an MCP gateway — it sits between your AI agents and RunwayML + Luma AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for luma_get_generation:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "luma_get_generation": {}
  }
}

luma_get_generation is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register RunwayML + Luma AI MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More RunwayML + Luma AI MCP Server tools

Destructive luma_delete_generation Deletes a specific Luma AI generation. Execute generate_image_to_video Generates a video from an image using RunwayML or Luma AI. Execute generate_text_to_video Generates a video from text using RunwayML or Luma AI. Write enhance_prompt Uses an LLM (via OpenRouter) to refine a prompt for video generation. Write luma_add_audio Adds audio to a specific Luma AI generation based on a prompt. Write luma_generate_image Generates an image using Luma AI. Write luma_upscale Upscales a specific Luma AI generation to a higher resolution. Read luma_get_camera_motions Lists supported camera motions for Luma AI prompts.

All 10 RunwayML + Luma AI MCP Server tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about luma_get_generation

What does the luma_get_generation tool do? +

Gets details for a specific Luma AI generation. It is categorised as a Read tool in the RunwayML + Luma AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on luma_get_generation? +

Register the RunwayML + Luma AI MCP Server MCP server in PolicyLayer and add a rule for luma_get_generation: 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 RunwayML + Luma AI MCP Server. Nothing to install.

What risk level is luma_get_generation? +

luma_get_generation is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit luma_get_generation? +

Yes. Add a rate_limit block to the luma_get_generation 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_get_generation completely? +

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

luma_get_generation is provided by the RunwayML + Luma AI MCP Server MCP server (wheattoast11/mcp-video-gen). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every RunwayML + Luma AI MCP Server tool call.

Start from RunwayML + Luma AI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →