generate_hunyuan3d_model

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

Despite no annotations, the description discloses the asynchronous job_id return, the import into Blender, built-in materials, and error behavior. It also indicates the status will change to DONE upon completion. This provides solid transparency, though it doesn't discuss potential side effects like overwriting existing assets.

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 an overview, parameter list, and returns section. It is free of fluff and front-loads the core purpose. The return explanation is somewhat verbose but informative, striking a balance between conciseness and necessary detail.

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 tool's purpose, parameters, and return behavior, including asynchronous job tracking and import completion. However, the missing user_prompt parameter and lack of input constraints (e.g., image format) leave gaps. Given there is no output schema, the description carries the full burden and is acceptable but incomplete.

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 description explains text_prompt and input_image_url with meaningful detail (e.g., 'short description' and 'local or remote URL'), but it omits user_prompt from the schema entirely. Since schema coverage is 0%, the description is the only source of parameter guidance, making the missing parameter a notable gap.

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 a specific verb ('Generate') and resource ('3D asset using Hunyuan3D'), and adds the import step into Blender. It distinguishes from sibling tools like generate_hyper3d_model_via_text by explicitly naming Hunyuan3D.

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 the tool is for generating a Hunyuan3D asset from text or image input, but does not explicitly mention alternatives or exclusions, such as using generate_hyper3d_model_via_text for Hyper3D or poll_hunyuan_job_status for status checks. Usage is implied, not contrasted with siblings.

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