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

No annotations provided, so description bears full burden. It lists returned data categories and mentions optional date parameter but omits behavioral details like authentication, rate limits, or side effects. The tool is read-only, but this is inferred rather than stated.

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 one moderately long sentence but packs significant detail concisely. It front-loads the purpose and then lists KPIs. Could benefit from bullet points for clarity, but overall efficient.

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?

Despite lacking output schema, the description enumerates return components (KPIs, ladder, topics, AI text) adequately for an agent to anticipate results. Complexity is low (single optional param, no nesting) and coverage is sufficient.

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% with thorough description. The tool description reiterates the date default behavior but adds no new parameter semantics beyond citation note, which is not parameter-specific. Baseline 3 is appropriate.

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 clearly states the tool retrieves complete A-share daily review data, listing specific KPIs and components (limit-up/down, consecutive boards, etc.). It distinguishes itself from siblings by focusing on aggregated market review rather than individual stock history, LHB, or trade date listings.

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?

Provides implicit guidance: omitting date returns latest trading day, and earlier history should be obtained via website/opendata. However, it does not explicitly compare with sibling tools or state when not to use it.

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