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

With no annotations, the description carries the full burden and discloses auth requirements ('No wallet and no signature'), caching behavior, quota cost for cold shelves, and the estimate caveat for counts via countScope. This is rich behavioral context beyond typical schema details.

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 front-loaded and nearly every sentence carries operational information, which is justified by the absence of an output schema. However, the long run-on output enumeration and semicolon-heavy clauses make it dense and harder to scan than ideal.

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 no annotations and no output schema, the description supplies output fields, auth, cache/quota behavior, workflow chaining, and the count-estimate caveat. An agent has enough information to invoke this tool correctly and understand its operational costs.

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?

Both parameters are already fully documented in the schema. The description adds endpoint URL shapes and reinforces that nodeId targets a category under a department, but it does not add significant parameter-specific constraints or formats beyond the schema.

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 states a specific verb/resource—read one shelf/category node—and enumerates the returned groups: children, childrenDeep, brands, facets, aspectTiles, siblings, related, and deals. The opening 'narrow towards a purchase without inventing keywords' and the 'rather than walking the tree' contrast make its scope distinct.

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?

It gives clear use context, directs chaining engineParam back to search_products and contentAt to compare_landed_cost, and warns against walking the whole tree. It does not explicitly state the prerequisite list_categories call or when to prefer siblings like get_deals or get_directory.

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