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DeepSearch 通用检索

deepsearch

Perform broad web retrieval returning structured results, using the DeepSearch model for more comprehensive searches than standard AI agent search, accepting increased response time for higher quality.

Instructions

使用 DeepSearch 模型执行广域检索并返回结构化结果,拥有比AI Agent内置搜索更好的搜索效果但更耗时,需要平衡需求

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kNo
localeNo
filtersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
metadataYes
usageYes
Behavior2/5

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

No annotations provided, so description bears full burden. It only mentions time-consuming nature. Lacks details on authentication, rate limits, or behavioral side effects. Minimal transparency.

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

Conciseness4/5

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

Single sentence, front-loaded with core action. Efficient and to the point. No wasted words.

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?

Given 4 parameters, no schema descriptions, and no output schema? Actually there is an output schema, but description only says 'structured results'. Missing details on parameter usage and result format. Incomplete for effective tool use.

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

Parameters1/5

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

Schema coverage is 0% and description adds no parameter-specific information. The query parameter is implied but not explained. No guidance on top_k, locale, or filters.

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?

Description clearly states it uses DeepSearch model for broad search and returns structured results. It compares to built-in search, indicating its scope. However, it does not explicitly distinguish from sibling deepsearch-web.

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?

Description provides trade-off guidance: better results but more time-consuming, advising balance. This helps decide when to use vs. built-in search. No explicit exclusion or alternative mention for sibling.

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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