stock_value_em

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the data source URL and return type (pandas.DataFrame), which is useful context, but does not disclose rate limits, pagination, or data freshness. No contradictions 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?

The description is a compact docstring containing source, URL, parameter docs, and return docs. It includes redundant repetition of '每日互动' and hardcodes an example URL, but overall is efficient and front-loaded with the data source.

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 single-parameter read-only tool with strong annotations and no output schema, the description covers the parameter and return type adequately. However, it does not specify the columns or metrics contained in the valuation analysis, nor any nuances about supported exchanges or code formats, leaving it minimally sufficient rather than rich.

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 schema defines only symbol as a string with default '300766'. The description explicitly states ':param symbol: 股票代码' (stock code) and type str, providing meaning beyond the raw schema, especially for non-Chinese-speaking agents. The default value offers format hint, though no explicit format string is given.

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 identifies the data source (东方财富网 East Money) and data type (估值分析 valuation analysis) with a URL, implying the tool retrieves valuation data for a given stock code. However, it lacks an explicit verb like 'fetch' or 'return', and the repeated '每日互动' (a specific company name) introduces ambiguity about whether the tool is generic or stock-specific.

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?

There is no guidance on when to use this tool versus similar valuation tools such as stock_zh_valuation_baidu or stock_hk_valuation_comparison_em. No conditions, exclusions, or prerequisite details are provided, leaving the agent without decision support.

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