bond_deal_summary_sse

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds the source URL and return type, but does not disclose any further behavioral traits such as data granularity, date range limitations, or potential missing data. It adds some value beyond annotations but is not rich.

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 brief and follows a structured docstring format with URL, param, and return sections. Every line serves a purpose, and there is no fluff. It could be improved by leading with an explicit action verb, but it is efficiently sized.

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 simple with one parameter and no output schema, but the description is still thin. It does not describe what columns or content the returned DataFrame contains, nor the date format or any specifics about the bond turnover overview. The source URL is helpful, but an AI agent would need more detail to correctly interpret the output.

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 fully compensate. It only provides a minimal '指定日期' (specified date) and type str, with a default example '20210104'. It does not explicitly explain the date format (YYYYMMDD) or whether the parameter is optional beyond the default. The compensation is inadequate.

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 clearly: SSE bond market turnover overview, with a source URL. Although it lacks an explicit verb like 'retrieve' or 'fetch', the docstring format and return type imply data retrieval. It partially distinguishes from siblings via the tool name 'deal_summary' vs 'cash_summary', but the description itself doesn't explicitly differentiate.

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. There is no mention of exclusions, prerequisites, or context in which the tool is appropriate. The only hint is the date parameter, but there is no explanation of typical usage scenarios.

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