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face_swap_video_youtube

Swap faces in YouTube videos by providing a video URL and face image. Customize timing to apply face replacement to specific video segments.

Instructions

Swap a face onto a YouTube video. Provide a YouTube URL and a face image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
youtube_urlYesYouTube video URL
face_image_urlYesURL or local path to the face image to swap onto the video
start_secondsNoStart time in seconds
end_secondsYesEnd time in seconds
nameNoOptional name for the project
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the core action but omits critical details: whether this is a read-only or destructive operation, authentication requirements, rate limits, processing time, output format, or error conditions. The description is insufficient for a mutation tool with zero annotation coverage.

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 extremely concise (one sentence) and front-loaded with the core purpose. Every word earns its place with no redundancy or unnecessary elaboration, making it efficient for quick comprehension.

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

Completeness2/5

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

Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It fails to explain behavioral traits, return values, or error handling. While the schema covers parameters well, the overall context for safe and effective use is inadequate.

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?

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description only mentions 'youtube_url' and 'face_image_url', ignoring the other 3 parameters. It adds minimal value beyond what's in the schema, meeting the baseline for high schema coverage.

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 specific action ('swap a face onto a YouTube video') and identifies the required resources ('YouTube URL and a face image'). It distinguishes from siblings like 'face_swap_photo' (photos vs. videos) and 'face_swap_video' (generic video vs. YouTube-specific).

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 like 'face_swap_video' or 'face_swap_video_individual'. It states what the tool does but offers no context about appropriate use cases, prerequisites, or exclusions.

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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