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

With no annotations provided, the description carries the full burden and does well: it discloses the PRO plan requirement, the 403 error for lower tiers, the mutually exclusive nature of trade_date with start/end dates, and the exact return format with field names. This goes beyond minimal behavioral disclosure, though it does not cover rate limits or data update frequency.

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 well-structured: a clear title, a permission note, an Args list, and a Returns list. It is front-loaded and every line serves a purpose. It repeats schema information, which adds some redundancy, but the organization makes it easy to scan.

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 data retrieval tool with 6 optional parameters and an output schema (return fields listed), the description covers purpose, parameters, permissions, and return format. It lacks explicit guidance on alternative tools and does not explain the meaning of fields like 'leading' or 'level', but overall it provides enough context for correct invocation.

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?

Input schema has 100% description coverage for all 6 parameters, so the baseline is 3. The description duplicates the schema's parameter descriptions but adds no new meanings beyond what is already in the schema. The Returns section adds value for output understanding, but not for parameter semantics specifically.

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 identifies the resource as '概念/题材板块指数（行情数据）' (concept/theme sector index market data), which distinguishes it from generic market data tools. However, it lacks an explicit verb like 'query' or 'retrieve', and does not directly compare to sibling tools like concept_members or industries, so it does not fully meet the 5-level standard.

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 description provides a usage constraint (requires PRO plan, returns 403 otherwise) but gives no guidance on when to choose this tool over alternatives. There is no mention of when to use concepts vs. concept_members, index_daily, or industries, nor any exclusions or contextual recommendations.

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