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luma_list_aspect_ratios

Lists all available aspect ratios for Luma video generation, including their descriptions and use cases, to help you select the right aspect ratio for your video.

Instructions

List all available aspect ratios for Luma video generation.

Shows all available aspect ratio options with their use cases.
Use this to understand which aspect ratio to choose for your video.

Returns:
    Table of all aspect ratios with their descriptions and use cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries the burden. It indicates a read-only listing operation and specifies the return format as a table with descriptions and use cases. No side effects are expected, so this is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences: it states the function, explains the benefit, and describes the return. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and a straightforward operation, the description is fully complete. It covers purpose, usage context, and return expectations. The output schema exists but the description already summarizes the return.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, so the baseline score applies. The description adds no parameter-specific information, which is appropriate since none exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists all available aspect ratios for Luma video generation, and it distinguishes from sibling tools like luma_generate_video or luma_extend_video, which are about generation and extension, not enumeration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises to use this tool to understand which aspect ratio to choose, providing clear context. While it doesn't explicitly mention when not to use it or name alternatives, the task is simple and no direct alternative exists among siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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