generate_3d_text_to_3d

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

No annotations provided. Description adds context by stating the return is a UUID for checking status and downloading, indicating asynchronous behavior. However, it does not disclose rate limits, auth needs, or failure modes beyond what is obvious.

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

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

Description is well-structured with separate Args and Returns sections. It is reasonably concise, listing all parameters without excessive verbosity.

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

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

For a complex generative tool with 7 parameters and no annotations, the description provides the return format (UUID) but does not explicitly outline the asynchronous workflow or the need for polling status. Adequate but missing key workflow context.

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

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

With 0% schema description coverage, the description fully compensates by providing brief explanations for each parameter (e.g., seed range, material options, bounding box format). Adds meaning beyond mere names.

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

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

The description clearly states it generates a 3D model from text (Text-to-3D), using specific verb and resource. It implicitly distinguishes from sibling 'generate_3d_image_to_3d' which does image-to-3D.

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

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

Description implies usage for text prompts, but no explicit guidance on when to use this vs alternatives or prerequisites. Context is clear but lacks explicit when-not-to-use or alternative comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.