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

Adds real context beyond the annotations: the data comes from the same anonymous mobile backend Nike's app uses, and it discloses the important edge case that an unrecognized style_color returns Nike's fallback list rather than an empty result. Not contradictory to readOnlyHint/openWorldHint, but it stops short of noting pagination or result limits.

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?

Two dense sentences that front-load the core purpose and then the fallback behavior. Efficient, though the enumeration of returned fields partly duplicates the output schema and slightly pads the text.

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?

For a single-parameter read tool with an output schema, the description supplies everything needed: what it returns conceptually, the data source, and the key edge case. Nothing essential for correct invocation is missing.

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 carries the burden for the single style_color parameter. It conveys that the value identifies a specific product and that unrecognized values trigger a fallback, which meaningfully clarifies the parameter's expected input and behavior.

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 ('related-product "Shop Similar" recommendations for one product') and scopes it clearly. Distinguishes it from sibling tools such as nike_product_details, nike_product_reviews and nike_search without ambiguity.

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?

Implies the tool is called for a single product's recommendations (keyed by style_color), but never states when to prefer it over siblings like nike_product_details or how to obtain a valid style_color. No explicit when/when-not guidance.

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