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ai_search_tencent_docs

Search Tencent Cloud product documentation and APIs to find technical information and implementation guidance for cloud services.

Instructions

☁️ 腾讯云文档搜索 - 搜索腾讯云产品文档和API

【重要】此工具会返回腾讯云文档搜索URL,Claude Code应该使用WebFetch工具访问该URL以获取真实搜索结果。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes搜索关键词
productNo产品名称(如:cvm、cos、cdn等)

Implementation Reference

  • Handler case for ai_search_tencent_docs (shared with similar tools). Validates query, builds Tencent Cloud docs search URL, uses platform config to generate detailed Markdown response with WebFetch instructions, saves to file, and returns text response.
    case 'ai_search_tencent_docs': {
      const rawQuery = normalizeString(args.query);
    
      if (!rawQuery) {
        throw new Error('搜索关键词不能为空');
      }
    
      const searchUrls = {
        ai_search_csdn: `https://so.csdn.net/so/search?q=${encodeURIComponent(rawQuery)}`,
        ai_search_juejin: `https://juejin.cn/search?query=${encodeURIComponent(rawQuery)}`,
        ai_search_segmentfault: `https://segmentfault.com/search?q=${encodeURIComponent(rawQuery)}`,
        ai_search_cnblogs: `https://zzk.cnblogs.com/s?w=${encodeURIComponent(rawQuery)}`,
        ai_search_oschina: `https://www.oschina.net/search?scope=all&q=${encodeURIComponent(rawQuery)}`,
        ai_search_aliyun_docs: `https://help.aliyun.com/search?spm=a2c4g.11186623.0.0&k=${encodeURIComponent(rawQuery)}`,
        ai_search_tencent_docs: `https://cloud.tencent.com/search?s=doc&keyword=${encodeURIComponent(rawQuery)}`
      };
    
      const platformInfo = {
        ai_search_csdn: {
          name: 'CSDN',
          icon: '📝',
          description: '中国最大的IT社区和服务平台',
          tips: ['博客文章', '技术问答', '代码片段', '下载资源'],
          homepage: 'https://www.csdn.net/',
          toolKey: 'csdn-search'
        },
        ai_search_juejin: {
          name: '掘金',
          icon: '💎',
          description: '面向开发者的技术内容分享平台',
          tips: ['前端开发', '后端开发', 'Android', 'iOS', '人工智能'],
          homepage: 'https://juejin.cn/',
          toolKey: 'juejin-search'
        },
        ai_search_segmentfault: {
          name: 'SegmentFault',
          icon: '🔧',
          description: '中文技术问答社区',
          tips: ['技术问答', '技术文章', '活动沙龙', '编程挑战'],
          homepage: 'https://segmentfault.com/',
          toolKey: 'sf-search'
        },
        ai_search_cnblogs: {
          name: '博客园',
          icon: '📚',
          description: '开发者的网上家园',
          tips: ['.NET', 'C#', 'Java', 'Python', '数据库'],
          homepage: 'https://www.cnblogs.com/',
          toolKey: 'cnblogs-search'
        },
        ai_search_oschina: {
          name: '开源中国',
          icon: '🌐',
          description: '中国最大的开源技术社区',
          tips: ['开源项目', '技术资讯', '代码托管', '协作翻译'],
          homepage: 'https://www.oschina.net/',
          toolKey: 'oschina-search'
        },
        ai_search_aliyun_docs: {
          name: '阿里云文档',
          icon: '☁️',
          description: '阿里云产品文档中心',
          tips: ['ECS', 'OSS', 'RDS', 'SLB', '容器服务'],
          homepage: 'https://help.aliyun.com/',
          toolKey: 'aliyun-docs'
        },
        ai_search_tencent_docs: {
          name: '腾讯云文档',
          icon: '☁️',
          description: '腾讯云产品文档中心',
          tips: ['CVM', 'COS', 'CDN', 'SCF', '数据库'],
          homepage: 'https://cloud.tencent.com/document/product',
          toolKey: 'tencent-docs'
        }
      };
    
      const info = platformInfo[name];
      const searchUrl = searchUrls[name];
    
      const detailsContent = `${info.icon} ${info.name} 搜索\n\n` +
        `**搜索关键词**: ${rawQuery}\n` +
        `**平台介绍**: ${info.description}\n\n` +
        `---\n\n` +
        `🔗 **搜索链接**: ${searchUrl}\n\n` +
        `⚠️ **请使用 WebFetch 工具获取搜索结果**:\n` +
        `\`\`\`javascript\n` +
        `WebFetch({\n` +
        `  url: "${searchUrl}",\n` +
        `  prompt: "提取前10条搜索结果(标题、作者、发布时间、摘要、链接)"\n` +
        `})\n` +
        `\`\`\`\n\n` +
        `---\n\n` +
        `💡 **${info.name} 热门主题**:\n` +
        info.tips.map(tip => `• ${tip}`).join(' | ') +
        `\n\n🏠 **平台首页**: ${info.homepage}\n\n` +
        `📌 **搜索建议**:\n` +
        `• 使用精确关键词获得更好的结果\n` +
        `• 结合多个平台搜索可获得更全面的信息\n` +
        `• 关注文章的发布时间,优先查看最新内容`;
    
      const filepath = await saveSearchResult(info.toolKey, rawQuery, detailsContent);
    
      return makeTextResponse(
        `${info.icon} **${info.name}搜索**\n\n` +
        `**关键词**: ${rawQuery}\n` +
        `**搜索链接**: ${searchUrl}\n\n` +
        `✅ 详细信息已保存至: ${filepath || '保存失败'}\n` +
        `💡 使用 WebFetch 工具访问搜索链接获取结果`
      );
    }
  • MCP tool registration in AI_TOOLS array. Defines name, description, and input schema (query required, product optional).
    {
      name: 'ai_search_tencent_docs',
      description: '☁️ 腾讯云文档搜索 - 搜索腾讯云产品文档和API\n\n【重要】此工具会返回腾讯云文档搜索URL,Claude Code应该使用WebFetch工具访问该URL以获取真实搜索结果。',
      inputSchema: {
        type: 'object',
        properties: {
          query: { type: 'string', description: '搜索关键词' },
          product: { type: 'string', description: '产品名称(如:cvm、cos、cdn等)' }
        },
        required: ['query']
      }
    }
  • Input schema definition for ai_search_tencent_docs tool.
      inputSchema: {
        type: 'object',
        properties: {
          query: { type: 'string', description: '搜索关键词' },
          product: { type: 'string', description: '产品名称(如:cvm、cos、cdn等)' }
        },
        required: ['query']
      }
    }
  • Platform-specific configuration helper object used in handler for generating response content (name, icon, description, tips, homepage).
    ai_search_tencent_docs: {
      name: '腾讯云文档',
      icon: '☁️',
      description: '腾讯云产品文档中心',
      tips: ['CVM', 'COS', 'CDN', 'SCF', '数据库'],
      homepage: 'https://cloud.tencent.com/document/product',
      toolKey: 'tencent-docs'
    }
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the key behavioral trait that this tool returns URLs rather than actual search results, which is crucial information. However, it doesn't mention rate limits, authentication requirements, error conditions, or what happens when no results are found. The description adds important context but leaves gaps in behavioral understanding.

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 perfectly structured and concise. The first sentence establishes the core purpose, and the second sentence (marked with 【重要】) provides critical usage guidance. Every sentence earns its place, with no wasted words. The information is front-loaded with the most important guidance clearly highlighted.

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 moderate complexity (search with 2 parameters), no annotations, and no output schema, the description does well by explaining the key behavioral constraint (returns URLs requiring WebFetch). However, it doesn't describe the format of returned URLs, error conditions, or what happens with the optional 'product' parameter. For a search tool with no output schema, more detail about the return value would be helpful.

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 both parameters fully. The description doesn't add any parameter-specific information beyond what's in the schema. It doesn't explain parameter interactions, provide examples, or clarify the relationship between 'query' and 'product' parameters. Baseline 3 is appropriate when the schema does all the parameter documentation work.

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 clearly states the tool's purpose: '搜索腾讯云产品文档和API' (search Tencent Cloud product documentation and APIs). It specifies the resource (Tencent Cloud documentation) and verb (search), though it doesn't explicitly differentiate from all sibling tools beyond the cloud provider specificity. The cloud emoji and provider name help distinguish it from general documentation search tools.

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

Usage Guidelines5/5

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

The description provides excellent usage guidance with the 【重要】section, explicitly stating when to use this tool ('会返回腾讯云文档搜索URL' - returns Tencent Cloud documentation search URLs) and what to do with the output ('Claude Code应该使用WebFetch工具访问该URL' - Claude Code should use WebFetch tool to access the URL). This clearly establishes the tool's role in a multi-step workflow.

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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