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

With no annotations, the description must carry the behavioral disclosure burden itself. It does state that the operation retrieves metadata, intro, and full TOC with summaries, which implies a read-only metadata access. However, it does not mention permissions, return format, or the boundary against full-text retrieval, so transparency is adequate but minimal.

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 sentence that front-loads the primary purpose and packs in the exact return contents without filler. Every word earns its place.

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 one-parameter tool with no output schema, the description is largely complete: it tells the agent what to pass and what will come back. It loses a point only because it does not address overlap with the full-text sibling, which could cause the agent to pick the wrong tool.

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 100% and the single parameter novel_id is documented as the work slug. The description adds no additional meaning about the parameter beyond the schema, which matches the baseline of 3 when the schema already covers it.

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 a specific verb (获取/retrieve) and a specific resource (novel) and enumerates exactly what is returned: metadata, introduction, and full TOC with chapter summaries. It does not explicitly distinguish itself from siblings such as read_novel_fulltext, so it falls just short of a 5.

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 guidance is given about when to choose get_novel over sibling tools like read_novel_fulltext, list_novels, or search_novels. The verb '获取' implies an overview/detail use case, but there are no explicit conditions, exclusions, or alternatives.

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