news_trade_notify_suspend_baidu

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds that it requires a cookie and returns a DataFrame, but does not mention rate limits, auth requirements beyond cookie, or pagination. No contradiction with 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 compact with a clear title, URL, param docstring, and return type in roughly four lines. It is front-loaded with the purpose, though some redundancy exists between the title and description.

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 no output schema, the description compensates by stating return is a DataFrame. It lacks guidance on behavior like what happens when no date is provided (default set in schema) or whether authentication (cookie) is mandatory. The presence of a URL and sibling context helps, but gaps remain.

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% in the description, but the schema itself defines both parameters. The description does not add meaningful detail about how 'date' should be formatted (though it does show YYYYMMDD) or what 'cookie' is specifically for. However, the docstring includes format hints and return type, providing a baseline.

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 states this tool retrieves Baidu stock trading suspension/resumption data ('百度股市通-交易提醒-停复牌') and returns a DataFrame, with a URL. It identifies the specific data source and type, distinguishing it from sibling tools like news_trade_notify_dividend_baidu.

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 reveals this is for Baidu calendar trade notifications on suspensions/resumptions, but does not explicitly state when to prefer it over alternatives or provide exclusions. Usage context is implied by the name and title rather than explicitly stated.

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