精选榜单
get_toplist获取图书精选榜单,如高分榜(top)、遗珠榜(cold)、新书榜(new)、周更新榜(weekly)及法律(law)、社科(social)、职场(career)、历史(history)、科技(tech)等分类榜。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | 榜单类型,默认 top(高分榜) | |
| count | No | 返回数量,默认 10,最大 20 |
get_toplist获取图书精选榜单,如高分榜(top)、遗珠榜(cold)、新书榜(new)、周更新榜(weekly)及法律(law)、社科(social)、职场(career)、历史(history)、科技(tech)等分类榜。
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | 榜单类型,默认 top(高分榜) | |
| count | No | 返回数量,默认 10,最大 20 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the behavioral burden. It does convey that the operation is a fetch and explains what kind of lists exist, but it does not describe the return shape, ordering, or any other behavioral details. For a simple read-only list tool this is adequate, though still somewhat thin.
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 single dense sentence that front-loads the main purpose and then efficiently lists all supported list types. It is slightly redundant with the schema enum, but the Chinese labels and grouping make the duplication useful rather than wasteful.
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 two optional parameters and all supported list types are covered, which is enough for basic invocation. However, there is no output schema and no statement of what the returned payload looks like, and no guidance is given for distinguishing this tool from get_recent_hot, leaving the agent to make assumptions.
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 schema already provides full coverage: type has an enum and default, and count has a range and default, so the baseline is 3. The description adds value by mapping the terse enum values to human-readable Chinese labels like 遗珠榜, 新书榜, 法律, and 社科, which clarifies the meaning of 'cold' and the category choices.
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 and resource ('获取图书精选榜单') and enumerates nine concrete list types, so the tool's purpose is immediately clear. It does not explicitly name or differentiate sibling tools like get_recent_hot, but the listed categories make the intended scope understandable.
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?
There is no guidance about when to use this tool instead of a sibling such as get_recent_hot, search_books, or list_book_tags. The description only enumerates available list types; it gives no exclusions, prerequisites, or alternative-routing hints.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct responsibilities: search, detail, guide, hot, top list, and tags. The only minor overlap is between get_recent_hot and get_toplist's 'new' or 'weekly' lists, but their descriptions differentiate them well enough.
All tool names follow a consistent verb_noun snake_case pattern: get_book_detail, get_book_guide, get_recent_hot, get_toplist, list_book_tags, search_books. The verbs get/list/search are used predictably according to each tool's action.
Six tools is a well-scoped set for a book discovery and metadata server. Each tool covers a distinct user need without unnecessary redundancy or bloat.
The tool surface covers the full book discovery lifecycle: search, detailed metadata, AI-generated reading guidance, popularity/top lists, and category navigation. There are no obvious dead ends for the apparent purpose of finding and learning about Chinese books.