news_trade_notify_dividend_baidu

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the need for a 'cookie' parameter (implying authentication) and a specific source URL, but it does not explain the cookie's purpose or any rate limits, pagination, or error behavior. This partial disclosure is below the bar for richer behavioral 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 compact and organized with URL, :param, and :return sections. It front-loads the resource name and URL, which is efficient. However, it redundantly repeats the title as the first line, which adds no new information. Overall, it is concise and structured well enough.

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?

Given the simple tool (2 params, no output schema) and helpful annotations, the description is minimally adequate. It covers the essential inputs (date, cookie) and return type (DataFrame), but lacks usage context, output details, and caveats about cookie authentication. It does not explain what data the DataFrame contains beyond '分红派息', 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?

Schema coverage is 0%, so the description must compensate. It does document the date parameter with a format ('YYYYMMDD'), which is essential. However, the cookie parameter is documented only as 'cookie', adding no meaning beyond the schema's property name. The date format is useful, but the missing explanation for cookie and lack of example values prevent a higher score.

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 resource ('百度股市通-交易提醒-分红派息') and implies a retrieval action via ':return: 交易提醒-分红派息DataFrame'. It is distinguishable from the sibling 'news_trade_notify_suspend_baidu' by explicitly mentioning '分红派息' (dividend/interest). However, it lacks an explicit verb like 'fetch' or 'list', relying on the noun phrase and return type to convey purpose.

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 scenarios, exclusions, or related tools. The only context is the URL and parameter descriptions, which do not help an agent decide between this and the many sibling tools (e.g., news_trade_notify_suspend_baidu).

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