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ChengDSYJ-Studio

CNKI-Enhanced-MCP

cnki_structured_search

Read-only

Execute precise CNKI structured searches with specified fields, Boolean operators, and matching modes. Retrieve academic results according to your exact criteria.

Instructions

独立结构化检索工具:严格执行调用者指定的 CNKI 字段、布尔关系和匹配方式。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo可选返回上限;默认质量自适应
pagesNo最多抓取的 CNKI 结果页数
profileNodefault
sort_byNoCNKI 结果页原始排序方式relevance
year_toNo
year_fromNo
conditionsYes1到10个 CNKI 原生高级检索条件行
source_tiersNo可选本地后置来源层级过滤,如 CSSCI、北大核心、SCI、EI
document_typesNo可选本地后置文献类型过滤,如期刊、博士论文、硕士论文、会议论文
metadata_depthNo基础结果、候选增强重排或全部结果增强rerank
rerank_candidatesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds the behavioral trait of strict execution of caller-specified conditions, which is useful context. However, it does not disclose session requirements, pagination behavior, or rate limits, which are relevant for a retrieval tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant wording, front-loading the core purpose and key behavioral trait. It is highly concise and efficient, earning a perfect score on this dimension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex with 11 parameters and likely depends on a CNKI session (sibling cnki_login exists). The description does not mention prerequisites, typical use cases, or how it differs from cnki_search in practical terms. Even with an output schema, the description leaves significant gaps in operational context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 64%, so the schema already documents many parameters. The description adds emphasis on fields, Boolean relations, and match modes, which clarifies the conditions array semantics. But it provides no added meaning for other parameters like limit, pages, or metadata_depth.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies it as a structured CNKI search tool with a specific focus on fields, Boolean relations, and match modes. This distinguishes it from the generic cnki_search sibling, though it does not explicitly name the alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for precise, structured queries via '严格执行调用者指定的...' but provides no explicit when-to-use or when-not-to-use guidance compared to cnki_search. There are no stated exclusions or alternatives, so the guidance is implied rather than explicit.

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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