stock_hk_dividend_payout_em

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, which covers the safety profile. The description adds the data source URL and states that the return is a pandas DataFrame, but discloses no additional behavioral traits such as pagination, data coverage, or update frequency. Given the strong annotation coverage, this is adequate but not enriching.

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 relatively compact, but it includes a long 100+ character URL and a title line that merely repeats the tool name. The docstring format is standard and front-loaded with the title, but the URL adds noise without contributing essential information, making the structure somewhat cluttered.

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 single-parameter data retrieval tool, the description provides the source, parameter meaning, and return type. However, without an output schema, it does not detail the DataFrame columns or underlying data fields, and no edge cases or formatting requirements are mentioned. The read-only annotations help, but the description could be richer to fully guide an agent.

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 explicitly defines 'symbol' as a stock code with type str, and the example URL includes code=03900. This compensates for the missing schema description. However, it does not specify format constraints (e.g., 5-digit leading zeros for HK stocks), so it is not fully comprehensive.

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's first line '东方财富-港股-核心必读-分红派息' is essentially a title that restates the tool name without an explicit action verb like 'retrieve' or 'query'. It identifies the resource (HK dividend payout data from East Money) and the return type, but does not clearly state what the tool does in a functional sentence or distinguish it from sibling HK dividend 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, no exclusions, prerequisites, or context. The description only gives a source URL and a parameter definition, so an agent cannot decide between this and other dividend-related tools like stock_hk_fhpx_detail_ths or stock_history_dividend.

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