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

No annotations are provided, so the description carries the full burden and does: it discloses the per-item result shape, requested/returned/failed counters, the paid-tier requirement (专业版 ¥99+, 标准版 unavailable), per-call caps (200/1000 codes), billing by actually-returned rows, and rate-limit avoidance. That is exactly the operational context an agent needs before committing a paid call.

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?

Front-loaded with the core action and the sibling comparison, and nearly every line carries information (cost, format, limits, billing). It is long and the repeated ⚠️ markers plus emoji add visual noise that slightly dilutes scanability, but there is little genuinely wasted text.

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?

Even though an output schema exists, the description supplies the tier gating, per-call ceiling, billing basis, code formatting rules, and per-stock status semantics — everything needed to invoke this paid batch tool correctly. No material gap remains.

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 100%, so baseline is 3; the description still adds real meaning — comma-separated `codes` with an example, acceptance of bare 6-digit or prefixed codes, `count` semantics as 'per stock N rows' with default 1, and the `turnover` field name for the percent field. Minor omission: no mention of `start`/`end`/`period` interaction with `count`.

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?

States the specific action (batch quotes for multiple stocks at once) and the distinguishing output shape (per-stock `{code, ok, data}` status). It explicitly names the sibling ashare_quote and how it differs ('only one stock, results mixed together'), so an agent can pick between them without opening schemas.

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?

Gives concrete trigger phrasing ('这几只现在什么价 / 扫一下我这个池子 / 一个行业现在的行情') plus an explicit contrast section with ashare_quote, including the cost argument (300 sequential calls ≈ 3.5 min vs ~4s here). Both when-to-use and why-not-the-alternative are covered.

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