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extend_video

Extends a video from its last frame using a prompt; specify a URL and optional extension length.

Instructions

Extend an existing video with a follow-up prompt.

Continues the source video seamlessly from its last frame. `duration` sets
the length of the extension only, not the total output. For example, a
10 second input plus `duration=5` yields a 15 second final video.

Args:
    prompt: What should happen in the extended segment.
    video_url: Public URL of the source video (.mp4, 2–15 s).
    model: Video model (default `grok-imagine-video`).
    duration: Length of the extension in seconds (2–10, default 6).

Returns:
    Markdown block with the extended video URL and total duration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
video_urlYes
modelNogrok-imagine-video
durationNo
Behavior5/5

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

No annotations provided, but the description fully discloses behavior: continues from last frame, duration is for extension only, returns a Markdown block with URL and total duration. This is sufficient for agent understanding.

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, well-structured with a brief intro, bulleted args, and return format. Every sentence adds value with no 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 4 parameters, no output schema, and no annotations, the description covers purpose, all parameters with constraints, and return format. It is complete for correct tool invocation.

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

Parameters5/5

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

Schema description coverage is 0%, yet the description adds meaning for all four parameters: prompt, video_url (format and length), model (default), and duration (range and default). It compensates fully.

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 extends an existing video with a follow-up prompt, continuing from the last frame. It distinguishes from the sibling 'generate_video' by specifying it's for extension, not creation.

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 explains when to use (extending a video) and provides constraints like video URL format, length, and duration range. It does not explicitly state when not to use, but given sibling tools, the context is clear.

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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