image_to_3d

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the basic function (conversion to mesh) but does not mention important traits like processing time, resource usage, file overwriting behavior, or any limitations.

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 three sentences long, which is reasonably concise. The first sentence effectively states the main action, but the second sentence partially repeats the first, leading to minor redundancy.

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 4 parameters, full schema coverage, and an output schema, the description is adequate but lacks behavioral context (e.g., supported image formats, size limits, output quality). It does not fully inform usage decisions.

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 input schema covers all 4 parameters with descriptions, achieving 100% coverage. The description adds no new meaning beyond the schema, so a baseline score of 3 is appropriate.

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: convert an image into a 3D mesh using Shap-E. It specifies the input/output and gives an example use case. However, it does not distinguish itself from sibling tools like 'generate_3d_object', which may reduce clarity in selection.

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 provides an example use case (turning NFT artwork into 3D collectibles), which implies when to use it. However, it lacks explicit guidance on when not to use it or alternatives among siblings, such as 'generate_3d_object'.

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