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bing-search-to-markdown

Convert Bing search results pages to Markdown format for easy reading and sharing. Simply provide the URL to transform web search results into structured text.

Instructions

Convert a Bing search results page to markdown

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the Bing search results page

Implementation Reference

  • Handler logic for URL-based tools including 'bing-search-to-markdown'. Validates URL, checks safety, and delegates to Markdownify.toMarkdown for conversion.
    switch (name) {
      case tools.YouTubeToMarkdownTool.name:
      case tools.BingSearchResultToMarkdownTool.name:
      case tools.WebpageToMarkdownTool.name:
        if (!validatedArgs.url) {
          throw new Error("URL is required for this tool");
        }     
        
        const parsedUrl = new URL(validatedArgs.url);
        if (!["http:", "https:"].includes(parsedUrl.protocol)) {
          throw new Error("Only http: and https: schemes are allowed.");
        }
        
        if (is_ip_private(parsedUrl.hostname)) {
          throw new Error(`Fetching ${validatedArgs.url} is potentially dangerous, aborting.`);
        }
    
        result = await Markdownify.toMarkdown({
          url: validatedArgs.url,
          projectRoot: validatedArgs.projectRoot,
          uvPath: validatedArgs.uvPath || process.env.UV_PATH,
        });
        break;
  • Tool schema defining name, description, and input requirements (URL) for 'bing-search-to-markdown'.
    export const BingSearchResultToMarkdownTool = ToolSchema.parse({
      name: "bing-search-to-markdown",
      description: "Convert a Bing search results page to markdown",
      inputSchema: {
        type: "object",
        properties: {
          url: {
            type: "string",
            description: "URL of the Bing search results page",
          },
        },
        required: ["url"],
      },
    });
  • src/server.ts:33-37 (registration)
    Registers all tools from tools.ts, including 'bing-search-to-markdown', in the MCP listTools handler.
    server.setRequestHandler(ListToolsRequestSchema, async () => {
      return {
        tools: Object.values(tools),
      };
    });
  • Implements the core markdown conversion for URLs (including Bing search pages) by fetching content, saving to temp file, executing markitdown via uv, and returning markdown text.
    static async toMarkdown({
      filePath,
      url,
      projectRoot = path.resolve(__dirname, ".."),
      uvPath = "~/.local/bin/uv",
    }: {
      filePath?: string;
      url?: string;
      projectRoot?: string;
      uvPath?: string;
    }): Promise<MarkdownResult> {
      try {
        let inputPath: string;
        let isTemporary = false;
    
        if (url) {
          const response = await fetch(url);
    
          let extension = null;
    
          if (url.endsWith(".pdf")) {
            extension = "pdf";
          }
    
          const arrayBuffer = await response.arrayBuffer();
          const content = Buffer.from(arrayBuffer);
    
          inputPath = await this.saveToTempFile(content, extension);
          isTemporary = true;
        } else if (filePath) {
          inputPath = filePath;
        } else {
          throw new Error("Either filePath or url must be provided");
        }
    
        const text = await this._markitdown(inputPath, projectRoot, uvPath);
        const outputPath = await this.saveToTempFile(text);
    
        if (isTemporary) {
          fs.unlinkSync(inputPath);
        }
    
        return { path: outputPath, text };
      } catch (e: unknown) {
        if (e instanceof Error) {
          throw new Error(`Error processing to Markdown: ${e.message}`);
        } else {
          throw new Error("Error processing to Markdown: Unknown error occurred");
        }
      }
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the conversion action but lacks details on permissions, rate limits, error handling, or output format (e.g., markdown structure). For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action ('Convert'), making it easy to parse quickly.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what the markdown output looks like, potential limitations (e.g., handling dynamic content), or how it differs from similar tools. For a conversion tool with no structured behavioral data, more context is needed.

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 'url' clearly documented in the schema. The description doesn't add any meaningful semantics beyond what the schema provides (e.g., it doesn't specify URL format constraints or examples), so it meets the baseline for high schema coverage without compensating value.

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 with a specific verb ('Convert') and resource ('Bing search results page'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'webpage-to-markdown' or 'youtube-to-markdown', which might handle similar conversion tasks for different content types.

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. It doesn't mention prerequisites (e.g., needing a valid Bing search URL), exclusions (e.g., not working with non-Bing pages), or comparisons to sibling tools like 'webpage-to-markdown' that might handle generic web pages.

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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