stock_hk_scale_comparison_em

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 clear without description support. The description adds that it returns a pandas.DataFrame, which is mildly useful, but it does not disclose data freshness, response structure, or any operational constraints. This is minimal but non-redundant value beyond 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 short and uses a standard docstring format, but the headline sentence duplicates the title and the long embedded URL adds noise without functional value for an AI agent. It is not bloated, but the structure could be more informative by replacing the URL with a clearer explanation of the tool's behavior.

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?

There is no output schema, so the description carries the burden of explaining the return data. It only states '规模对比' (scale comparison) and 'pandas.DataFrame', leaving the columns, row structure, and meaning vague. The purpose ambiguity further reduces completeness. For a simple one-parameter read-only tool, it should at least clarify what 'scale comparison' returns and how the symbol parameter shapes the result.

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 description coverage is 0%, so the description must compensate for the parameter 'symbol'. It does so by stating ':param symbol: 股票代码' (stock code) and type str, which gives basic meaning to the parameter. However, it lacks format details (e.g., 5-digit code, leading zeros) and does not explain how the symbol relates to the returned scale comparison. This is a partial compensation.

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 is essentially the title repeated ('东方财富-港股-行业对比-规模对比' = East Money - HK Stocks - Industry Comparison - Scale Comparison). It lacks a verb or clear action, leaving ambiguous whether it retrieves scale data for a single stock, compares multiple stocks, or something else. It does specify the domain (HK stock industry comparison) but fails to distinguish itself from sibling comparison tools like stock_hk_valuation_comparison_em or stock_hk_growth_comparison_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?

No guidance is provided on when to use this tool versus alternatives. There are many sibling comparison tools (valuation, growth, scale) and the description offers no context or exclusion criteria. The agent is left to infer usage solely from the tool name.

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