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make_gif

Convert video clips to GIF format by specifying start time and duration. Extract segments from videos to create animated GIFs for sharing or display.

Instructions

Make gif using video path provided by user.

Args: input_video_path (str): Path to the source video file. start_timestamp (float, optional): Start time in seconds. Defaults to 0.0. duration (float, optional): Clip length in seconds. Defaults to 4.0.

Returns: str: Path to the generated clip, or an exception message string on failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_video_pathYes
start_timestampNo
durationNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions that the tool returns 'Path to the generated clip, or an exception message string on failure,' which adds some behavioral context about error handling. However, it doesn't disclose important traits like whether the operation is destructive to source files, what formats are supported, performance characteristics, or authentication needs. The description provides basic output information but misses critical behavioral details.

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 well-structured and appropriately sized. It begins with a clear purpose statement, then provides organized parameter documentation in an Args section, followed by return value information. Every sentence earns its place, with no redundant or unnecessary content. The formatting with clear sections enhances readability.

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

Completeness3/5

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

Given the tool's moderate complexity (3 parameters, no annotations, no output schema), the description provides basic but incomplete context. It covers purpose, parameters, and return values adequately, but misses important contextual information like file format requirements, performance expectations, error conditions beyond exceptions, and differentiation from sibling tools. For a tool that creates files from video input, more completeness would be beneficial.

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?

With 0% schema description coverage, the description must compensate for the lack of parameter documentation in the schema. The Args section provides clear semantic meaning for all three parameters: 'input_video_path (str): Path to the source video file,' 'start_timestamp (float, optional): Start time in seconds. Defaults to 0.0,' and 'duration (float, optional): Clip length in seconds. Defaults to 4.0.' This adds substantial value beyond the bare schema, though it doesn't explain parameter constraints or valid formats.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Make gif using video path provided by user.' It specifies the verb ('Make gif') and resource ('video path'), but doesn't explicitly differentiate from sibling tools like 'extract_frames' or 'clip_video' which might have overlapping functionality. The purpose is clear but sibling differentiation is minimal.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'clip_video', 'extract_frames', and 'get_normalized_clips' available, there's no indication of when GIF creation is preferred over other video processing operations. Usage context is implied at best.

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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