列出章节目录
list_chapters列出某部作品的章节目录,含每章标题、作者、字数与摘要(不含正文)。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| novel_id | Yes |
list_chapters列出某部作品的章节目录,含每章标题、作者、字数与摘要(不含正文)。
| Name | Required | Description | Default |
|---|---|---|---|
| novel_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden, and it does well by disclosing the exact returned fields (标题、作者、字数、摘要) and the key exclusion (不含正文). It does not discuss ordering, pagination, or auth requirements, but for a simple read-only listing operation this is acceptable.
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?
One concise sentence conveys the action, the resource, the output contents, and the important limitation. No filler, no repetition of the tool name, and the key information is front-loaded.
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 single-parameter tool with no output schema, the description adequately explains what input identifies and what output to expect. The only minor gaps are explicit alternative routing and ordering/pagination behavior, but neither is critical for correct basic 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?
Schema coverage is 0%, but the description's phrase '某部作品' clarifies that the required novel_id refers to the target work. Since there is only one self-explanatory parameter, this minimal contextual mapping is sufficient to invoke the tool correctly.
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 states a specific verb (列出) and resource (某部作品的章节目录), and explicitly notes it excludes 正文, distinguishing it from read_chapter and read_novel_fulltext. The purpose is immediately clear and unambiguous.
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 clearly indicates this tool is for chapter-level metadata overviews and explicitly states what it does not include (正文), which helps avoid using it for full-text retrieval. However, it does not explicitly name an alternative tool such as read_chapter for body content, so it stops short of full routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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