find_similar_prints

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

With no annotations, the description carries the full burden. It explains the matching method (geometric signature, surface area, volume) but fails to disclose whether the operation is read-only, rate limits, or what happens with insufficient data. This is insufficient for a data lookup tool.

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 concise introductory sentence followed by a clear parameter list. Slightly verbose due to repeating 'for fuzzy matching' but overall efficient.

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, the description does not specify the return format (e.g., list of model IDs with similarity scores). This is a gap for a find tool. However, parameter descriptions are complete, and the core functionality is clear.

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 provides inline parameter descriptions for all 7 parameters, including defaults and meanings (e.g., 'fuzzy matching'). Schema coverage is 0% in the input schema, so the description fully compensates by explaining each parameter's role.

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 finds similar models in a print DNA knowledge base using geometric signature matching, surface area, and volume similarity. The verb 'find similar' is specific to the resource 'models' and distinguishes it from general search or browse 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?

No guidance on when to use this tool vs alternatives like search_models or browse_models. The description implies geometry-based matching but doesn't provide explicit when-to-use or when-not-to-use context.

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