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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, so the safety profile is covered. The description adds real behavioral context beyond them: what each ranking type actually ranks by, and the important caveat that 'leaderboard' is a last-calendar-month snapshot rather than an all-time ranking. Return format and pagination behavior remain undisclosed.

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 compact segments: ranking-mode semantics first, then the chaining workflow. Front-loaded with the core distinction and zero filler. Dense separators make it scannable, though the run-on clause structure is slightly harder to parse than plain prose.

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 simple read-only list tool with rich annotations and full schema coverage, the description covers the essential selection logic (which type does what) plus a follow-up chain. With no output schema it could still say more about the shape of returned items, but the gaps are minor for this complexity level.

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 coverage is 100%, so baseline is 3. The description exceeds baseline by explaining what each enum value means operationally (e.g., hottest = by claim count and total views, random = claimed only), which the terse schema description ('榜单类型：hottest|today|random|leaderboard') does not convey. The 'limit' parameter is left to the schema, which documents it adequately.

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: a public ranking list ('公开榜单') of products, and disambiguates the four ranking modes. An agent can tell it produces ranked product lists rather than a plain search. It does not, however, differentiate itself from near-name siblings like list_products_discover, list_service_products, or search_products.

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 four enum semantics (hottest by claim+views, today, random claimed-only, leaderboard last-month snapshot) implicitly guide which type to pick, and the chaining hint 'slug→get_product→get_creator' suggests a follow-up flow. There is no explicit when-to-use-vs-alternatives statement or exclusion relative to the many sibling product/creator listing tools.

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