stock_financial_analysis_indicator_em

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so the safety profile is known. However, the description adds minimal behavioral context—it only states the return type as pandas.DataFrame and does not disclose potential limitations, rate limits, data scope details, or any quirks. This adds little value beyond what annotations provide.

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 standard docstring with title, URL, parameter docs, and return type. It is reasonably sized but contains redundancy: the title '东方财富-A股-财务分析-主要指标' appears in the first line and again in the return line. The URL is verbose and may not be necessary for function invocation. Overall, it is functional but not tightly written.

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 2-parameter read-only tool, the description provides decent parameter semantics and return type. However, it does not enumerate which specific financial indicators are included, nor does it clarify whether the data is historical or current, or how it differs from similar tools like stock_financial_analysis_indicator. The absence of an output schema increases the need for such detail, leaving the description incomplete.

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 no parameter descriptions (0% coverage), but the description compensates by documenting both parameters: symbol is explained as '股票代码（带市场标识）' (stock code with market identifier) with a default example '301389.SZ', and indicator is given a choice of '按报告期' or '按单季度'. This adds clear meaning beyond the bare schema, making the parameters understandable.

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 opens with '东方财富-A股-财务分析-主要指标', which is essentially the same as the tool's title/name, providing no active verb like 'retrieve' or 'list'. It states the resource (Eastmoney A-share financial main indicators) but does not clearly articulate the action or scope, making it vague rather than a specific verb+resource+scope statement. The URL and return type add some context, but the core purpose is implied rather than explicitly described.

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 alternatives such as stock_financial_analysis_indicator or stock_financial_abstract. The description only provides parameter explanations and does not state appropriate contexts, prerequisites, or when not to use the tool. Sibling differentiation is absent.

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