stock_individual_spot_xq

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

Annotations already declare readOnly, idempotent, and non-destructive behavior. The description adds useful context about the auth requirement (raises APIError when login state is needed) and the return type (pandas.DataFrame). However, it does not disclose data fields, rate limits, or other behavioral nuances, leaving the description to rely heavily on the annotations.

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 well-structured with clear :param/:return/:raises sections and is appropriately concise. The only minor flaw is the duplication of the title at the top and the absence of a one-line summary before the docstring details, but overall it is efficient and organized.

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 spot-quote tool, the description covers the essential aspects: symbol scope, auth requirement, and return type. However, since there is no output schema, the '证券最新行情' return is only minimally described; an agent would benefit from more detail on the fields or examples of symbol formats to avoid ambiguity.

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 input schema has zero description coverage, but the description thoroughly documents all three parameters: symbol (with specific security code types), token (xq_a_token), and timeout (None or positive float). This fully compensates for the schema's lack of explanatory text.

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 identifies the tool as fetching the latest security quote from Xueqiu ('证券最新行情'), supported by the title and example URL. It explicitly lists supported symbol types, which adds clarity, though it lacks a single concise sentence that states the tool's primary verb and purpose.

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 the many sibling spot-quote tools (e.g., stock_zh_a_spot_em, stock_us_spot). The description only lists supported symbol types and mentions an authentication requirement, but does not explain selection criteria or exclude alternatives.

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