generate_3d_image_to_3d

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

With no annotations, the description partially covers behavioral traits: it mentions the return value is a UUID for task tracking. However, it does not disclose any side effects, authentication requirements, rate limits, or error conditions.

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 'Args' and 'Returns' sections, front-loading the main purpose. It is somewhat long due to listing all parameters, but each sentence adds information. Could be slightly more concise.

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 tool has 10 parameters and no annotations, the description covers the main purpose and parameter details. However, it lacks usage examples, thorough explanations of optional parameters, and behavioral context. It is adequate but not fully comprehensive.

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 meaning beyond the input schema by providing parameter names, defaults, and constraints (e.g., up to 5 files, seed range 0-65535, format options). Some parameters like 'quality_override' and 'bbox_condition' lack detailed explanation, but overall it compensates significantly.

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 'Генерирует 3D модель из изображения(й) (Image-to-3D)', providing a specific verb and resource. It distinguishes from the sibling tool 'generate_3d_text_to_3d' by specifying the input type (image vs text).

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?

No explicit guidance on when to use this tool versus alternatives. The description implies image-to-3D conversion but does not state when not to use it, prerequisites, or compare with text-to-3D or other siblings.

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