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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds that growth is measured by seller count and observations, which is useful metric context. It does not disclose return format, ordering, or the default comparison window, but with annotations this is acceptable.

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 sentences with no filler: the first states function and the second gives usage triggers. The most important information is front-loaded.

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 19 parameters, no output schema, and no required parameters, the description is too thin. It does not explain how to specify a category by id vs name, how filters interact, or what the default result set is when no parameters are supplied.

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 only 26%, leaving 14 parameters undocumented, and the description does not compensate by explaining any filter parameters. It only implies the relevance of seller-count and observation metrics. The generic phrase adds little meaning beyond what parameter names already suggest.

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 opens with a specific action and resource: 'Find brands in a category with the biggest recent growth in seller count and observations.' It is clear and not tautological. It doesn't explicitly differentiate from similar growth-focused siblings like brands_gaining_sellers, but the category-scoped wording narrows it.

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 provides concrete user-phrase triggers ('fastest growing brands in Toys', 'top growers in this category') and generalizes to 'any category-scoped growth question.' This gives clear context, though it does not name alternatives or state when not to use the tool.

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