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

No annotations are provided, so the description carries the full burden. It conveys that this is a listing of readings with an HSK level, but says nothing about ordering, result size, pagination, or whether the list is exhaustive or filtered by any implicit user context.

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?

A single front-loaded sentence with no filler; the verb leads and every clause carries information about the resource and its returned attribute.

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 no output schema, the description should characterize the return value more fully. It tells the agent each item has a "computed HSK level", but omits fields (title, text, id) and any notion of ordering or completeness, leaving the response shape partly unknown.

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?

The tool takes zero parameters, so there is no parameter semantics to document; baseline 4 applies. Schema coverage is 100% and the description correctly adds no spurious parameter claims.

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 a specific verb ("List") and resource ("graded Chinese readings") plus the salient returned attribute (computed HSK level). It implicitly contrasts with the singular sibling get_reading, but never names or explicitly differentiates itself from list_words_by_level or lookup_word.

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 indication of when to call this versus get_reading (single reading), list_words_by_level, or lookup_word. No prerequisites, no mention of whether any filtering or pagination is available. Usage must be inferred entirely from the name.

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