stock_us_valuation_baidu

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

Annotations already declare the tool read-only, idempotent, and non-destructive. The description adds the source URL, parameter choices, and return type (pandas.DataFrame), which provide some context but do not disclose data freshness, error behavior, or symbol format nuances beyond the example.

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 and front-loaded with the title and URL, followed by parameter documentation. It is not overly verbose, though the docstring format is a bit repetitive with the type lines.

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 and read-only, and the description plus annotations cover the essentials: parameters, choices, return type, and safety. However, it does not mention defaults (which are in the schema), potential errors, or how the symbol should be formatted (the URL uses 'us-NVDA' while the default is 'NVDA'), leaving some ambiguity for an agent.

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 description compensates for the 0% schema description coverage by documenting each parameter: symbol as a stock code string, indicator with five explicit choices, and period with three choices. This is valuable, but it stops short of explaining the meaning of each indicator or the exact accepted symbol format (e.g., 'NVDA' vs 'us-NVDA' from the URL).

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 this as a Baidu Gushitong US stock valuation data tool, with an example URL and return type, distinguishing it from Hong Kong and A-share valuation siblings. However, it lacks an explicit verb like 'retrieve' or 'get,' relying on the noun '估值数据' to convey the action.

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_us_hist or stock_zh_valuation_baidu. The description only states what it returns, not under what circumstances it should be selected, and no exclusions are mentioned.

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