generate_hyper3d_model_via_text

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

With no annotations, the description adds some useful behavioral context: built-in materials, normalized size, re-scaling advice, and a success/failure message. It does not mention potential asynchronous behavior, scene modifications, prerequisites, or error handling beyond the return message.

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?

The description is concise and well-structured: a clear opening sentence, helpful asset traits, a Parameters section, and a Returns line. Every sentence adds value, and the front-loaded purpose makes it easy to scan.

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?

The core workflow is covered, but gaps remain: user_prompt is missing from the explanation, there is no mention of status polling or asset retrieval, and with no output schema or annotations, the tool's operational behavior is underspecified for a generation/import side-effecting tool.

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?

The schema has no property descriptions, and the description compensates for text_prompt (short English description) and bbox_condition (float[3] controlling L/W/H ratio). However, user_prompt is completely undocumented, so one parameter remains unexplained.

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 the tool's action: generate a 3D asset using Hyper3D from a text description and import it into Blender. It distinguishes itself from sibling tools like generate_hyper3d_model_via_images through 'via text' and 'by giving description', making the resource and method explicit.

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?

The intended use is implied: use when you want a text-described 3D asset in Blender. However, there is no explicit when-to-use guidance, exclusions, or comparison with alternatives such as image-based generation or other model generators.

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