get_qhkc_index_profit_loss

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is handled. The description adds real value by showing the exact return shape (a pandas.DataFrame with indexes/value/trans_date columns) even though no output schema exists. It still omits any mention of auth, rate limits, or data freshness.

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 purpose and index list are front-loaded and the output sample is informative, but the sphinx-style ':type str' lines merely restate the schema and the ten-row DataFrame sample is longer than needed to convey the column layout. It is serviceable but carries avoidable filler.

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 four parameters at 0% schema coverage and no output schema, the description compensates well: it enumerates valid index names, notes that end_date suffices, and shows the return columns. The remaining gap is that url and start_date semantics (what an empty start_date means, whether the default URL should ever be overridden) are left unaddressed.

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 carry parameter meaning. It does explain that end_date alone is sufficient and lists the valid name values (奇货黑链, 奇货商品, etc.), which is genuinely useful. But url is only labeled '网址' and start_date is left as an empty string with no explanation, so coverage is partial rather than complete.

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 states a concrete resource — profit/loss detail (盈亏详情) for QHKCH indexes — and even enumerates the eleven valid index categories, so an agent knows exactly what data comes back. The verb is implied ('获得...数据') rather than explicit, and it never distinguishes itself from siblings like get_qhkc_index or get_qhkc_index_trend, which is the only thing keeping it from a 5.

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 note '指定 end_date 就可以了' tells the agent that only end_date needs to be supplied, which is genuine usage guidance. However, there is no statement of when to prefer this tool over the sibling index tools, nor any exclusions or prerequisites, so usage remains only partially covered.

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