news_report_time_baidu

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

Annotations already declare readOnlyHint=true and idempotentHint=true, lowering the bar for behavioral disclosure. The description adds only a return type (DataFrame) and a cookie parameter, but does not explain cookie requirements, potential data coverage, rate limits, or pagination. It adds minimal context beyond the 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 short and avoids extraneous text, but it is structured as a docstring fragment with a URL and parameter lines, not a coherent paragraph. It could be more readable with a clear imperative statement and logical ordering, though it is not bloated.

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 that there is no output schema and only sparse annotations, the description is insufficient for an agent to understand the full behavior. It does not explain the date range semantics, whether historical data is available, how the cookie should be obtained, or what specific fields appear in the returned DataFrame. The tool likely serves a straightforward calendar query but the description leaves too much unspecified.

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 must compensate. It specifies the date parameter format (YYYYMMDD), which is useful, but the cookie parameter is merely repeated as 'cookie' without any explanation of purpose or acquisition. The return type is mentioned but no parameter behavior is clarified beyond the basic format.

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 (Baidu Stock Market financial report release calendar) and indicates it returns a DataFrame of financial report releases. However, it lacks an explicit action verb (e.g., 'fetch', 'query'), and the tool name 'news_report_time_baidu' is misleading compared to the actual subject matter. It is a clear label but not a full statement of 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?

No guidance is provided about when to use this tool versus alternatives. There is no mention of prerequisites, filters, or exclusions. The description simply lists a URL and parameters without any contextual advice on selecting this tool over the many sibling financial data tools.

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