stock_hk_valuation_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 agent knows this is a safe read operation. The description adds the source (Eastmoney), market (HK), and context (industry comparison), plus the pandas DataFrame return type. However, it does not disclose deeper behavioral traits such as pagination, rate limits, or data freshness. Given the annotations cover the safety profile, the description provides adequate but not rich additional context.

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 to the point, but the long URL is unnecessary clutter and the structure is fragmented (title, URL, then docstring-like param/return lines). The core information is present but could be better organized with a clearer separation between purpose and technical details. It earns a middle score for being reasonably concise while having some structural noise.

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?

The tool is simple (one parameter, no output schema) and the annotations provide the safety context. The description identifies the source, market, purpose, parameter, and return type. However, it does not specify what 'valuation comparison' actually contains (e.g., PE, PB, EV/EBITDA) or any details about the returned DataFrame. For a simple lookup tool, this is adequate but not fully complete, as the agent may not know the exact output structure.

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 coverage is 0%, so the description must compensate. It states that 'symbol' is the stock code (股票代码), which adds basic meaning beyond the schema. However, it does not provide format examples, constraints, or explain how the code should be formatted (e.g., leading zeros, exchange suffix). The default value '03900' indirectly suggests the format, but the description could be more explicit. This is a minimal but sufficient 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 clearly identifies the tool as 'Eastmoney - HK Stocks - Industry Comparison - Valuation Comparison', which specifies the resource (HK stocks), the source (Eastmoney), and the purpose (industry valuation comparison). This distinguishes it from A-share counterparts like stock_zh_valuation_comparison_em and other sources like stock_hk_valuation_baidu. However, it lacks an explicit verb like 'retrieve' or 'get', making it slightly less direct than ideal.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or scenarios where another tool would be more appropriate. The URL is a reference page but is not explained. The agent is left to infer usage context solely from the name and title.

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