stock_financial_report_sina

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that it returns a pandas DataFrame and lists the valid values for symbol, but it does not disclose behaviors like stock code format expectations (e.g., 'sh' prefix) or data granularity. This is minimal additional context beyond annotations.

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 structured as a docstring with parameters and return type, which is reasonably organized. However, it includes a long, specific example URL that adds noise and may confuse the agent, and it repeats the title phrase multiple times. It is not as concise or front-loaded as it could be.

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 relatively simple with two optional parameters and no output schema. The description covers the purpose and parameters, but it omits crucial practical details like the stock code format (whether to include 'sh'/'sz' prefix) and how the returned DataFrame is structured. Given the abundance of sibling financial tools, some usage context would improve completeness.

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 carries the full burden. It provides meaningful semantics: 'stock' is identified as a stock code, and 'symbol' is explicitly enumerated with choices of 资产负债表, 利润表, 现金流量表. This is far more than the bare schema, though the stock format is left somewhat vague.

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 (Sina Finance three major financial statements) and the parameters indicate it retrieves balance sheet, income statement, or cash flow statement for a stock. While not phrased as an explicit verb phrase like 'Get', the intent is clear and distinct from pure tautology. It doesn't explicitly differentiate from sibling tools like stock_financial_abstract, but the scope is evident.

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_abstract, stock_balance_sheet_by_report_em, or other financial statement tools. There is no mention of suitability context, prerequisites, or exclusions. The description simply presents what it does without usage direction.

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