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luma_extend_video_from_url

Extend an existing video by providing its URL and a prompt for the extension. Optionally supply an end image URL for the final frame.

Instructions

Extend an existing video using its URL.

Similar to luma_extend_video, but uses the video URL instead of video ID.
This is useful when you have the video URL but not the original video ID.

Use this when:
- You have the video URL from a previous generation
- You want to extend a video but don't have the video_id

Returns:
    Task ID and the extended video information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_urlYesURL of the video to extend. Must be a valid video URL from a previous Luma generation.
promptYesDescription of what should happen in the extended portion of the video.
end_image_urlNoOptional URL of an image to use as the final frame of the extended video.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions the return value (Task ID and extended video info) but does not clarify whether the operation is destructive, whether it modifies the original video, or the asynchronous nature of the task. The description is adequate but lacks depth.

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 concise (6 lines) and well-structured with distinct sections for purpose, similarity to sibling, use-cases, and returns. 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?

For a tool with 3 simple parameters and an output schema, the description adequately covers purpose, usage context, and return type. No important information is missing.

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

Parameters3/5

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

Input schema coverage is 100%, so the schema already documents all parameters. The description adds context (using URL instead of ID) but does not provide additional semantic details beyond what is in the schema. Baseline score of 3 is appropriate.

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?

Clearly states the tool extends an existing video using its URL, explicitly distinguishing it from luma_extend_video which uses a video ID. The verb 'extend' and resource 'video URL' are specific and unambiguous.

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

Usage Guidelines5/5

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

Provides explicit use cases: when you have the video URL and do not have the video ID. Also references the sibling tool luma_extend_video, helping the agent decide which tool to use.

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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