generate_hunyuan3d_model

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

With no annotations, the description carries full behavioral disclosure. It explains the asynchronous nature (job_id, status DONE), the import side-effect into Blender, and the built-in material property, all of which go beyond the basic schema.

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 well-structured with a succinct purpose sentence followed by parameter and return sections. It is slightly longer than necessary but every part adds useful information 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?

The description covers the async job flow, return format, import behavior, and materials, which is sufficient given no output schema. Minor gaps like prerequisites or specific failure reasons exist, but overall it is complete enough for an agent to invoke and interpret the result.

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?

Schema description coverage is 0%, but the description compensates by explaining text_prompt as a short English/Chinese description and input_image_url as a local/remote URL that accepts None when text-only. This adds meaningful context beyond the bare schema.

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 generates a 3D asset using Hunyuan3D from text or image and imports it into Blender. This distinguishes it from sibling tools like generate_hyper3d_model_via_text or separate status/import tools.

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 description implies when to use the tool (generation from text/image) but provides no explicit guidance on when not to use it or how it compares to alternatives such as generate_hyper3d_model_via_text or generate_hyper3d_model_via_images. No exclusions or alternative recommendations are given.

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