generate_hunyuan3d_model

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

No annotations are provided, so the description must fully disclose behavior. It only states generation from text/image, failing to mention whether outputs are synchronous/asynchronous, any authentication requirements, or side effects. Key details like result format or required parameters are omitted.

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 two sentences, front-loading the core purpose. Every word adds value, with no redundancy or filler. It is appropriately sized for the tool's simplicity.

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?

Given the absence of an output schema and the complexity of 3D model generation, the description is incomplete. It does not explain the result (e.g., file path, URL), whether the process is asynchronous (sibling get_hunyuan3d_status suggests polling), or how to handle timeouts. Many details beyond the input schema remain unaddressed.

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 adds value by explaining that text_prompt accepts English/Chinese descriptions and input_image_url accepts local or remote URLs. However, it does not specify constraints like max length or file size, leaving the agent to assume basic knowledge.

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 action: 'Generate 3D model using Hunyuan3D from text and/or image.' It specifies the tool (Hunyuan3D) and input types, distinguishing it from sibling tools like generate_hyper3d_model_via_images (different technology) and get_hunyuan3d_status (status check).

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 usage for generating 3D models from text/image but lacks explicit guidance on when to choose this tool over alternatives like Hyper3D or how to combine inputs. No prerequisites or exclusions are stated, leaving the agent to infer usage from context.

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