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

With no annotations, the description carries the full burden. It implies a read-only statistics operation and names the output fields, but it does not disclose whether counts include unpublished content, whether they are cached, or any auth expectations. The read-only character is reasonably clear from the name and title.

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 a compact, front-loaded list of four metrics with no filler or repetition. It is efficient, though a complete sentence such as 'Returns the number of works, chapters, total word count, and authors' would have been slightly clearer.

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 zero-parameter tool with no output schema, the description lists exactly the values a caller should expect, which is enough for correct invocation and basic interpretation. It could be more explicit that these are site-wide aggregates, but the tool title and sibling names provide that context.

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 has zero parameters, so there is no parameter detail to add. The description instead clarifies what the empty call returns, which is the only semantic content an agent needs beyond the schema.

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 names the exact aggregate metrics returned: 作品数, 章节数, 总字数, 作者数. This makes the tool's purpose clear and distinguishes it from per-item siblings like list_novels and list_chapters, though it lacks an explicit verb and relies somewhat on the tool title.

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 listed aggregate counts imply that this tool is for site-wide statistics rather than detailed lists or individual records. However, there is no explicit statement of when to use it, nor any mention of alternatives among the sibling tools.

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