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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds meaningful behavior beyond that: fallback results for obscure keywords, not-found errors for out-of-range pages or unknown categories, and the shape of returned data (summaries, facets, breadcrumbs). Good added context without contradicting annotations.

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?

Front-loads the core action and modes, then return shape, then error behavior — a logical ordering with little waste. It is dense and long-ish, but every clause carries information (modes, sort values, return fields, error cases).

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?

With an output schema present, the description need not detail return values, yet it summarizes them usefully. Combined with the mode/constraint and error disclosures, an agent has everything needed to invoke it correctly; only minor gaps like exact pagination format remain.

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%, so the description must compensate, and it does: it defines the semantics of query vs category (taxonomy slug, mutually exclusive), enumerates the four sort values that are absent from the schema, and implies page semantics via the out-of-range error note. Solid compensation, though page numbering/format is not spelled out.

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?

States a specific verb+resource ('Search Adidas.com product listings') and distinguishes two operating modes (keyword search vs category-slug browse) with the exactly-one-of constraint. An agent can tell this apart from adidas_product and adidas_suggest without opening either schema.

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?

Clearly states the two ways to use the tool and the exclusive-or requirement between query and category, which is real usage guidance. It does not explicitly name sibling alternatives (e.g., adidas_suggest for autocomplete) or state when-not to use it, so it falls short of a 5.

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