Skip to main content
Glama

luma_extend_video

Extend any existing video by adding new motion and content after the original ends. Provide a video ID and a description of the continuation to create a longer piece.

Instructions

Extend an existing video with additional content.

This allows you to continue a previously generated video, adding more motion
and content after the original video ends.

Use this when:
- A generated video is too short and you want to add more
- You want to continue the story or motion from a previous video
- You're building a longer video piece by piece

Returns:
    Task ID and the extended video information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of what should happen in the extended portion of the video. Describe the continuation of motion and new content.
video_idYesID of the video to extend. This is the 'video_id' field from a previous generation result.
callback_urlNoWebhook callback URL for asynchronous notifications.
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 carries the full burden. It discloses the key behavior ('adding more motion and content after the original video ends') and mentions the return of a Task ID, implying an asynchronous task. However, it does not mention potential side effects, requirements, or whether the original video is modified, which would be valuable for a generation tool.

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

Conciseness4/5

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

The description is well-structured with a clear intro, a bulleted 'Use this when' list, and a brief 'Returns' section. It is slightly verbose but every sentence earns its place by clarifying purpose and usage. No filler content.

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

Completeness4/5

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

For a 4-parameter tool with output schema, the description is fairly complete: it covers purpose, usage scenarios, and return values. It lacks explicit mention of asynchronous behavior or a comparison with luma_extend_video_from_url, but the 'Task ID' and 'previous generation' hints mitigate this. Given the moderate complexity, it is adequate.

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 has 100% description coverage, so the baseline is 3. The description adds no extra parameter details beyond what the schema already defines for prompt, video_id, callback_url, and end_image_url. It does not repeat or expand on schema descriptions, so no additional value.

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's function with a specific verb and resource: 'Extend an existing video with additional content.' It distinguishes from siblings by specifying 'previously generated video' and 'after the original video ends,' which aligns with the tool name and separates it from luma_extend_video_from_url.

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?

Provides explicit 'Use this when' guidance with three concrete scenarios: video too short, continue story/motion, build longer piece by piece. It does not mention when to use alternatives like luma_extend_video_from_url, but the context of 'previously generated video' implies this is for existing Luma generations.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AceDataCloud/LumaMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server