stock_financial_us_analysis_indicator_em

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

Annotations already cover safety with readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds no behavioral context such as side effects, rate limits, data scope constraints, or output format details beyond stating the return type as pandas.DataFrame. It does not contradict the annotations, but it contributes no extra behavioral transparency.

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 compact, but the title '东方财富-美股-财务分析-主要指标' is repeated several times (first line, return line, and implicitly in the URL), which is slightly redundant. Still, it is front-loaded with the title and concise enough, with no extraneous filler.

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?

No output schema is provided, and the description merely says the return is a pandas.DataFrame of '主要指标' without specifying which indicators, column names, time periods, or data granularity. For an agent to correctly interpret results, this is insufficient, especially given the wealth of related sibling tools.

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 add meaning. It defines symbol as 股票代码 (stock code) and explicitly enumerates indicator choices as {'年报', '单季报', '累计季报'}, which is valuable beyond the bare schema. However, it does not explain the meaning of these choices or provide symbol format examples, leaving some gaps.

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 resource as Eastmoney US stock financial analysis main indicators via the title '东方财富-美股-财务分析-主要指标'. It clearly distinguishes from HK or A-share counterparts by specifying 美股 (US stocks), but lacks an explicit action verb like 'Get' or 'Retrieve', making it more of a noun-phrase label than a full descriptive sentence.

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 such as stock_financial_hk_analysis_indicator_em or stock_financial_analysis_indicator. There are no exclusions, prerequisites, or contextual hints about appropriate use cases.

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