stock_hk_spot

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering safety expectations. The description adds that the tool returns 实时行情数据 (real-time market data) as a pandas.DataFrame, which is helpful, but it does not disclose additional behavioral traits such as rate limits, data freshness, or network dependencies. It adds some value beyond annotations but remains limited.

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 concise, with the main purpose in the first line followed by a source URL and return type. It is efficient and front-loaded, though the Vim-style docstring formatting (:return:, :rtype:) is slightly unconventional for a tool description but not confusing.

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 zero-parameter read-only tool, the description adequately covers what data is returned (real-time quotes for all HK stocks), the source (Sina Finance), and the return type (pandas.DataFrame). There is no output schema, so the description carries the burden of explaining the return value, which it does sufficiently. It could mention detailed columns or limitations, but for a simple list endpoint, it is reasonably complete.

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?

With zero parameters and 100% schema description coverage, the baseline score is 4. The description does not need to explain any input semantics since none exist, and it correctly omits parameter details.

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 clearly states the tool returns real-time market data for all Hong Kong stocks from Sina Finance, including a source URL. It is specific about scope and resource, but does not explicitly differentiate from sibling tools like stock_hk_spot_em or stock_hk_index_spot_em, so it misses the highest score.

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 on when to use this tool versus alternatives. The description simply states what data it returns without any contextual hints or exclusions, leaving the agent to infer usage independently.

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