stock_hk_indicator_eniu

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only the upstream source and a pandas.DataFrame return type; it says nothing about rate limits, whether eniu requires auth, or whether results are a snapshot vs. a historical series. No contradiction with 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?

Purpose is front-loaded, but the body is a raw Python docstring: a bare URL, redundant :type tags that merely repeat the schema types, and an :rtype line. The indicator choice list is the only high-value content, so some lines do not earn their place.

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 low-complexity 2-parameter tool with no output schema, the description supplies both param meanings, the indicator enum, the source, and the return type (pandas.DataFrame). What is missing is whether the data is a time series or a current snapshot and any hint about the time dimension the URL implies.

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?

Schema coverage is 0% and neither parameter carries a description or enum in the schema, so the description does the heavy lifting: it glosses symbol as a HK stock code and, crucially, enumerates the indicator choices {港股, 市盈率, 市净率, 股息率, ROE, 市值}. It falls short of clarifying the accepted symbol format (e.g. 'hk01093').

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?

Names a specific source (亿牛网/eniu.com) and resource (港股指标 / HK stock indicators), and the URL example (hk01093/roe) makes the retrieval target concrete. It distinguishes itself from valuation siblings (stock_hk_valuation_baidu, stock_hk_financial_indicator_em) mainly by the named data source rather than an explicit statement of difference.

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?

The description gives no when-to-use context, no prerequisites, and never names an alternative tool despite many nearby HK-fundamental siblings. The agent must infer usage entirely from the name and params.

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