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ai_search_cnblogs

Search technical blogs on CNBlogs to find programming solutions and development insights. This tool generates search URLs for accessing relevant blog content through web fetching.

Instructions

📚 博客园搜索 - 搜索博客园技术博客

【重要】此工具会返回博客园搜索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

Implementation Reference

  • Handler for 'ai_search_cnblogs' (shared multi-case block): normalizes query, selects platform-specific search URL and info, generates detailed response with WebFetch instructions and saves result file.
    case 'ai_search_csdn':
    case 'ai_search_juejin':
    case 'ai_search_segmentfault':
    case 'ai_search_cnblogs':
    case 'ai_search_oschina':
    case 'ai_search_aliyun_docs':
    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: ${filepath || '保存失败'}\n` +
        `💡 使用 WebFetch 工具访问搜索链接获取结果`
      );
    }
  • Input schema for ai_search_cnblogs tool: requires a 'query' string parameter.
    inputSchema: {
      type: 'object',
      properties: {
        query: { type: 'string', description: '搜索关键词' }
      },
      required: ['query']
    }
  • Registration of ai_search_cnblogs tool in AI_TOOLS array, exposed via ListToolsRequestHandler.
    {
      name: 'ai_search_cnblogs',
      description: '📚 博客园搜索 - 搜索博客园技术博客\n\n【重要】此工具会返回博客园搜索URL,Claude Code应该使用WebFetch工具访问该URL以获取真实搜索结果。',
      inputSchema: {
        type: 'object',
        properties: {
          query: { type: 'string', description: '搜索关键词' }
        },
        required: ['query']
      }
    },
  • Platform-specific configuration helper for ai_search_cnblogs used in handler.
    ai_search_cnblogs: {
      name: '博客园',
      icon: '📚',
      description: '开发者的网上家园',
      tips: ['.NET', 'C#', 'Java', 'Python', '数据库'],
      homepage: 'https://www.cnblogs.com/',
      toolKey: 'cnblogs-search'
  • Search URL template for ai_search_cnblogs tool.
    ai_search_cnblogs: `https://zzk.cnblogs.com/s?w=${encodeURIComponent(rawQuery)}`,
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses a crucial behavioral trait: '此工具会返回博客园搜索URL,Claude Code应该使用WebFetch工具访问该URL以获取真实搜索结果' (This tool returns Cnblogs search URLs, Claude Code should use WebFetch tool to access the URL for actual search results). This reveals the tool doesn't return actual content but rather URLs that require secondary fetching, which is important operational context not inferable from the schema alone.

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 appropriately concise with two sentences that both earn their place. The first sentence states the core purpose, the second provides crucial operational guidance. The formatting with emoji and brackets adds visual structure without being excessive. It could be slightly more front-loaded by moving the operational guidance to a separate section.

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

Completeness3/5

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 function with URL return behavior), no annotations, no output schema, and 100% schema coverage, the description is partially complete. It covers the purpose and crucial behavioral trait about URL returns, but lacks information about response format, error conditions, rate limits, or authentication requirements. The absence of output schema means the description should ideally explain what the return value contains.

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% with the single parameter 'query' well-described as '搜索关键词' (search keywords). The description adds no additional parameter semantics beyond what the schema provides. With high schema coverage and only one parameter, the baseline of 3 is appropriate - the schema does the heavy lifting.

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: '搜索博客园技术博客' (search Cnblogs technical blogs). It specifies the verb (search) and resource (Cnblogs technical blogs), but doesn't explicitly differentiate from sibling tools like ai_search_csdn or ai_search_juejin which also search Chinese technical content platforms. The emoji and formatting add clarity but don't provide sibling differentiation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With 13 sibling tools all performing similar search functions across different platforms (CSDN, GitHub, StackOverflow, etc.), there's no indication of when Cnblogs is the appropriate choice versus other Chinese technical platforms like CSDN or SegmentFault, or versus general web search.

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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