stock_zh_growth_comparison_em

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, so the safety profile is covered. The description adds that the result is a pandas DataFrame, but provides no detail on the columns, data source behavior, or potential limitations, leaving room for more 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, leading with a clear title, then a reference URL, and a minimal docstring for the parameter and return value. It is front-loaded and every line adds some value, though the URL could be seen as clutter for tool selection purposes.

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?

With a single parameter, no output schema, and simple read-only annotations, the description is adequate for basic usage. However, it does not specify what columns or metrics the growth comparison returns, and the URL's example code is not explained, leaving some ambiguity for an AI agent deciding if this is the right tool.

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 only lists 'symbol' with a default but no description (0% coverage). The description compensates with ':param symbol: 股票代码' (stock code), and the URL shows an example 'SZ000895', which clarifies the expected format reasonably. However, it does not explain exchange prefixes or error cases, making the guidance minimal.

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 clearly identifies the tool as Eastmoney's growth comparison (成长性比较) for peer stocks, with a direct URL and a stated return type. It distinguishes itself from sibling tools like scale or valuation comparisons, though it lacks an explicit verb like 'get' or 'fetch'.

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 given on when to use this tool versus the many similar stock comparison tools (e.g., scale, valuation, or Hong Kong growth comparisons). Context is implied only through the name and URL, with no explicit exclusions or alternatives.

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