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

With only readOnlyHint available, the description carries the return-value burden and does so well, spelling out the fields an agent will get back (identity, Bike4Mind's place in it, status, category, links, dated updates). It stops short of covering failure behavior (invalid slug) or freshness of the data, which would matter for a 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?

A single sentence with no filler, front-loaded on the core operation ('One product ... by slug') before the field list. The trailing field enumeration is dense but each item is informative rather than redundant.

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?

No output schema exists, so the description's enumeration of returned fields is genuinely necessary and largely sufficient for an agent to know what it can do with the result. Only error/unknown-slug behavior is left unspecified, which is a minor gap for a read-only lookup.

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 100% and the schema already enumerates all twelve valid slug values, so the schema does the heavy lifting. The description's 'by slug' adds no format or constraint detail beyond what the schema provides, making the baseline 3 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 names the specific resource ('One product in the Bike4Mind ecosystem'), the lookup key ('by slug'), and enumerates the data returned (status, category, links, latest updates). The singular 'One product' implicitly distinguishes it from the sibling list_products, though it never names that sibling explicitly.

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?

Usage is only implied: an agent can infer that this is for fetching a single product versus enumerating with list_products, and the schema lists valid slugs. There is no explicit when-to-use/when-not, no statement about what happens for an unknown slug, and no named alternative.

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