stock_xgsr_ths

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds the source URL and return type (pandas.DataFrame) but provides no additional behavioral details such as rate limits or data update frequency. It does not contradict 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 compact and includes essential information: source path, URL, and return type. It is not overly verbose, though the placement of the URL in the middle of the text slightly disrupts flow.

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?

For a zero-parameter, read-only tool, the description provides enough to know it fetches new stock first-day data. However, with no output schema, it does not describe the data columns or provide any usage context, leaving some ambiguity about what the returned DataFrame contains.

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 input schema has zero parameters, so there is nothing to explain. The baseline for 0 parameters is 4, and the description adds no extraneous parameter information.

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 data source (同花顺-数据中心-新股数据-新股上市首日) and provides a URL and return type, but lacks an explicit verb like 'get' or 'list'. It is specific to new stock first-day listing data, which distinguishes it from sibling IPO tools, but the purpose is implied rather than directly stated.

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. It does not mention related IPO tools like stock_ipo_ths or provide any context for when this data would be relevant.

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