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soulvon
by soulvon

devin_web_search

Search the web in real time for technical documentation, version features, and open-source solutions using natural language, returning structured results with titles, URLs, and key excerpts.

Instructions

AI 驱动的实时网页搜索工具 (基于 Devin 联网引擎)。通过自然语言检索全网技术文档、最新版本特性、解决方案和开源生态,输出包含标题、URL及核心摘录的结构化结果。

参数提示:

  • query: 搜索词或自然语言问题 (必填)

  • num_results: 返回条数 (默认 5)

  • detailed: 设置为 true 可额外附带深度技术见解与综合总结

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes自然语言搜索查询 (例如: 'Next.js 15 features', 'Vue 3.5 reactive props')
detailedNo是否返回深度 AI 综合总结与结论分析
max_resultsNonum_results 的兼容别名
num_resultsNo期望返回的结果数量 (默认 5,建议 3-10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.6

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that results are real-time, AI-driven, and structured with title/URL/excerpts, and that 'detailed' adds deep insights, but it omits permissions, rate limits, error behavior, and safety profile.

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?

The description is front-loaded with the core purpose and uses a compact bullet list for parameter hints. It is appropriately sized, though the parameter hints duplicate schema information unnecessarily.

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?

With no output schema, the description usefully explains the return structure (title, URL, excerpts), and the schema fully covers parameters. It is complete enough for invocation, though it lacks sibling routing guidance and richer behavioral details.

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 100%, so the schema already documents all four parameters. The description repeats hints for query, num_results, and detailed, but does not add meaning beyond the schema and omits the max_results alias entirely.

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 names a specific verb+resource: 'AI 驱动的实时网页搜索工具' that retrieves web content via natural language and returns structured results with title, URL, and excerpts. It is clear what the tool does, but it does not explicitly differentiate itself from siblings like devin_web_fetch.

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?

It implies usage context by listing target content ('技术文档、最新版本特性、解决方案和开源生态'), but it never states when to use this tool versus alternatives such as devin_web_fetch or devin_status. The guidance remains implicit rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.