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工具调用示例（Tavily Search）
tavily-search
使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
SKILL.md
Full skill instructions
工具调用示例（Tavily Search）
当您决定调用 tavily_search 工具时，您的响应应该是一个包含 tool_name 和 parameters 字段的 JSON 对象。parameters 字段的值应是工具所需的参数对象。
✅ 正确示例
parameters 字段内容:
{"query": "latest AI news"}
完整工具调用响应示例:
{"tool_name": "tavily_search", "parameters": {"query": "latest AI news"}}
❌ 错误示例 (请避免以下常见错误)
-
在 JSON 中嵌入 Markdown 分隔符:
"```json\n{\"query\": \"latest AI news\"}\n```"(Qwen 模型会将此作为 JSON 字符串的一部分，导致解析失败)
-
参数名错误:
{"q": "latest AI news"}(应为 "query" 而非 "q")
-
参数值错误:
{"query": 123}(query 参数值应为字符串，而不是数字)
关键指令
- 查询构建: 查询应该具体且相关
- 实时性: 适用于需要最新信息的问题
- 验证: 可用于验证其他信息来源
使用场景
- 获取实时新闻和信息
- 回答需要最新数据的问题
- 研究特定主题的背景信息
- 验证事实和数据的准确性
最佳实践
- 查询应该具体且相关
- 对于复杂问题，可以分解为多个搜索查询
- 结合搜索结果进行综合分析
- 优先使用英文关键词获取更准确的结果
示例查询
- "2024年人工智能最新发展"
- "OpenAI最新模型发布信息"
- "比特币当前价格和趋势"
- "Python 3.12新特性详解"
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