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text_to_image

Generate an image from a text prompt using Tripo v3 models. Supports customization with size, model, seed, and negative prompts.

Instructions

Generate an image from a text prompt using Tripo v3 image-generation models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoOptional deterministic seed
sizeNoOptional output size string if supported by the selected image model
modelNoImage model, for example seedream_v5, gemini-3-pro, or chat_image_2
widthNoOptional output width
heightNoOptional output height
promptYesText prompt for image generation
templateNoOptional Tripo image-generation template such as asset_extraction or t_pose
negativePromptNoWhat to avoid in the generated image

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
taskIdYes
Behavior2/5

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

With no annotations, the description bears full burden. It fails to disclose behavioral aspects like output format, safety filters, rate limits, or side effects (e.g., file creation). Only mentions the model family.

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

Conciseness3/5

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

A single sentence is concise but lacks detail. While not verbose, it sacrifices informative value for 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?

For a tool with 8 parameters (many optional) and an output schema, the description is incomplete. It does not explain the purpose of key parameters like model, size, width/height, negativePrompt, or template.

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 coverage is 100%, so parameters are already documented. The description adds no extra meaning beyond what's in the schema, hence baseline score of 3 is appropriate.

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 'Generate an image from a text prompt' with a specific verb and resource, and distinguishes from sibling tools like image_to_image which require an image input. It also specifies the model family (Tripo v3).

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?

No guidance on when to use this tool versus alternatives such as image_to_image or text_to_3d. The description does not mention prerequisites, exclusions, or preferred contexts.

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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