stock_hk_index_daily_sina

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the source URL and the return type (pandas.DataFrame), but does not disclose details like data range, columns, or limitations. This is adequate given the annotation coverage, but not rich.

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 reasonably concise and structured, with a title line, a source URL, and short docstring entries. The title is repeated at the beginning, which is slightly redundant, but overall the content is well-organized and free of fluff.

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 one-parameter tool with strong annotations, the description is mostly sufficient: it states the return type and data source. However, it lacks details about the returned DataFrame's columns, date range, or error behavior when an invalid symbol is passed. The absence of an output schema makes this a minor gap.

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 schema has one parameter 'symbol' with zero description coverage. The description compensates by indicating that 'symbol' is the HK index code and provides the default 'CES100' as an example. This clarifies the parameter's meaning, though it doesn't enumerate all valid codes or how to find them.

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 '新浪财经-港股指数-历史行情数据', which clearly identifies the tool as returning historical market data for Hong Kong stock indices from Sina Finance. It specifies the source (Sina), market (HK indices), and data type (daily historical), but does not explicitly differentiate from sibling tools like stock_hk_index_spot_sina or stock_hk_index_daily_em.

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?

There is no guidance on when to use this tool versus alternatives such as the East Money variant (stock_hk_index_daily_em) or the spot variant (stock_hk_index_spot_sina). The description only states what the tool does, without providing context for selection or exclusions.

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