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

With no annotations, the description carries the full behavioral burden. It discloses that the tool returns a page of products, never a total, and warns that counting results yields a wrong answer. It does not cover output shape or error behavior, but the core behavioral caveat is clearly conveyed.

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 longer than minimal but every sentence earns its place: it gives examples, routes to siblings, and warns about a common mistake. It could tighten some phrasing, but the structure front-loads the core purpose before caveats.

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 there is no output schema and no annotations, the description covers the essential selection and invocation behavior well. It lacks explicit return-field details and any mention of pagination mechanics beyond 'a page', but the tool's optional-parameter complexity is modest and the core caveat about totals is present.

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 coverage is 67%, with min_price and max_price lacking descriptions. The description compensates by explaining price-range and category semantics through examples and by describing the 'spread' sort concept. It adds practical meaning beyond the raw enum and field names, though min/max are only implied rather than explicitly named.

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 browses the catalog without requiring a product name, listing concrete modes: cheapest, most expensive, price range, or category. It also differentiates from siblings by explicitly saying this is for questions search cannot answer and contrasting it with get_store_info for counts.

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 gives explicit when-to-use guidance with real example queries ('what is your cheapest product', 'anything under 50') and names the alternative for counting ('call get_store_info'). It also warns against a misuse: counting the returned page as the total catalog size.

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