近期热门
get_recent_hot获取近期热门更新图书,可按分类过滤。适合"最近有什么热门书"类问题。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tag | No | 分类过滤,如 计算机、文学(可选值见 list_book_tags) | |
| count | No | 返回数量,默认 10,最大 20 |
get_recent_hot获取近期热门更新图书,可按分类过滤。适合"最近有什么热门书"类问题。
| Name | Required | Description | Default |
|---|---|---|---|
| tag | No | 分类过滤,如 计算机、文学(可选值见 list_book_tags) | |
| count | No | 返回数量,默认 10,最大 20 |
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 of behavioral disclosure. It communicates that this is a read-style operation returning recent hot books and that filtering is possible, but it does not clarify how 'hot' is determined, the time window, ordering, or response format. Basic behavior is clear, but meaningful detail is missing.
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 two concise sentences: the first states the function and filtering capability, the second states the intended use case. There is no wasted wording, 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 simple read-style tool with two optional parameters and no output schema, the description covers the purpose, category filtering, and a typical query scenario. It even references list_book_tags for valid tag values. It is arguably complete for invoking the tool, though it could describe the response shape more explicitly.
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%, so the schema already documents tag and count well. The description's mention of category filtering adds little beyond the schema, and it does not provide additional meaning about count or tag. Baseline 3 is appropriate.
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 clearly states the tool retrieves recently hot updated books and can filter by category, making the core purpose specific and understandable. It does not explicitly differentiate itself from get_toplist or other siblings, so it misses the top score.
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 description explicitly says it fits questions like 'what hot books are there recently,' giving clear usage context. It does not mention when not to use it or compare it with alternatives such as get_toplist, but the stated use case is sufficiently clear for an agent.
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.