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search_vector_only

Find academic papers using vector similarity search, matching semantic meaning even when exact keywords are missing. Retrieves results based on conceptual relevance.

Instructions

纯向量搜索

仅使用向量相似度搜索,适合语义相关但关键词不匹配的场景。

Args: query: 搜索查询字符串 k: 返回结果数量,默认 10

Returns: 搜索结果列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
kNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It states it uses only vector similarity, implying a read-only search. But lacks details on side effects, auth, or rate limits.

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?

Description is very concise: two lines for purpose, then Args and Returns. It is front-loaded with the essential information and has no unnecessary text.

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

Completeness4/5

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

Given the tool's simplicity (2 parameters, with output schema existing), the description covers purpose, parameters, and return type adequately. No significant gaps.

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

Parameters4/5

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

Schema coverage is 0%, but the description explains 'query' as search query string and 'k' as number of results with default 10, adding meaning beyond types.

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

Purpose5/5

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

The description clearly states it performs pure vector similarity search, suitable for semantic matches without keyword overlap. It explicitly contrasts with keyword-based search, distinguishing it from siblings like search_fts_only.

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

Usage Guidelines4/5

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

The description indicates when to use (semantic but not keyword matching) but does not explicitly mention when not to use or name alternatives. However, siblings are listed, allowing inference.

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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