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image_to_bottube

Convert an image into a 3D model turntable video and publish it to BoTTube. Input an image, choose settings, and get a video URL.

Instructions

One-shot: an image -> Meshy image-to-3D -> turntable -> BoTTube video.

Always returns a dict (ok + watch_url, or ok=False + error/failed_stage + partial artifacts).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes
titleYes
descriptionNo
tagsNo3d,meshy,turntable
categoryNo
enable_pbrNo
should_textureNo
should_remeshNo
framesNo
resolutionNo
fpsNo
durationNo
timeoutNo
Behavior3/5

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

The description discloses the return format (dict with ok+watch_url or error+failed_stage+partial artifacts) and the sequential pipeline steps. However, it does not mention potential side effects, resource usage, or authentication needs. With no annotations, this is moderately helpful but leaves gaps.

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 two sentences long, with the first sentence front-loading the main pipeline and the second covering the return type. No unnecessary words, but given the tool's complexity, more detail could be added without sacrificing brevity.

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?

With 13 parameters, no annotations, no output schema, and many siblings, the description is insufficient. It lacks parameter explanations, prerequisites, failure behavior details, and differentiation from siblings like meshy_to_bottube or animate_to_bottube. The return format hint is helpful but incomplete.

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

Parameters1/5

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

Schema description coverage is 0%. The description does not explain any of the 13 parameters (e.g., image, title, enable_pbr, frames). It only mentions the pipeline but provides no details about parameter purpose or constraints, failing to compensate for the missing schema descriptions.

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 pipeline: image -> Meshy image-to-3D -> turntable -> BoTTube video. This specific verb+resource sequence distinguishes it from siblings that handle only intermediate steps (e.g., generate_3d_from_image, upload_to_bottube).

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 implies when to use this tool: when you want to go directly from an image to a BoTTube video. It does not explicitly state when not to use it or suggest alternatives, but the pipeline definition provides clear context.

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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