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

No annotations are provided, so the description carries the behavioral burden. It discloses non-obvious behavior: omitting chapter_number returns merged work-level and chapter-level comments in reverse chronological order. It does not mention limit semantics, pagination, or response shape, but the core behavior is transparent.

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?

Two short sentences, no filler, and the key default behavior is front-loaded. Every clause adds useful information for invoking the tool correctly.

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?

The required parameter, the optional chapter_number, and the default behavior are present, which is adequate for a basic list call. However, with no annotations, no output schema, and an undocumented limit parameter, the description is not fully self-sufficient; an agent would have to infer limit's meaning and the exact return shape.

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 description coverage is only 33%, so the description must compensate. It adds meaning for novel_id and chapter_number and explains the merging/ordering behavior, but limit remains only a bare number type with no semantic guidance. This is a meaningful gap.

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 uses a specific verb ('查看') and resource ('评论') and clearly identifies scope: one work or one chapter. It is unambiguous versus siblings like post_comment (viewing vs posting) and list_ratings (comments vs ratings), and it names the default scope behavior.

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?

It gives clear context: pass novel_id for a work's comments and optionally chapter_number for chapter comments. It does not explicitly mention alternatives or exclusions, but the read-versus-write distinction versus post_comment and the comments-versus-ratings distinction versus list_ratings are reasonably inferable.

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