get_popular_us_stocks

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

No annotations are provided, so the description carries full burden. It only mentions the return format ('Markdown格式的热门美股列表') but doesn't disclose important behavioral aspects: what criteria define 'popular', whether the list is static or dynamic, how many stocks are returned, whether there's pagination, data freshness, rate limits, or authentication requirements. For a tool with zero annotation coverage, this is insufficient behavioral disclosure.

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 appropriately concise with just two lines: one stating the purpose in Chinese, and one specifying the return format. Both sentences earn their place by providing essential information. However, the structure could be slightly improved by front-loading the English translation or making the purpose statement more immediately accessible to non-Chinese readers.

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 that the tool has an output schema (which should document the return structure), the description doesn't need to explain return values in detail. However, for a tool with zero annotations and many similar sibling tools, the description should provide more context about what 'popular' means and when to use this versus alternatives. The current description is minimally adequate but leaves significant gaps in usage context.

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?

The tool has zero parameters (schema description coverage is 100%), so the description doesn't need to explain parameters. The baseline for zero parameters is 4, as there's no parameter information to add beyond what the empty schema already provides.

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 '获取热门美股列表' (Get popular US stocks list), which provides a clear verb ('get') and resource ('popular US stocks list'). However, it doesn't differentiate from sibling tools like 'get_all_stock', 'get_hs300_stocks', or 'get_popular_hk_stocks' - it only specifies the geographic focus (US) and popularity filter without explaining what makes stocks 'popular' or how this differs from other listing tools.

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?

No guidance is provided about when to use this tool versus alternatives. With many sibling tools that retrieve different stock lists (HS300, SZ50, ZZ500, HK stocks, all stocks), the description offers no context about when this specific 'popular US stocks' list would be preferred over other listing tools or search functions like 'search_us_stocks'.

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