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pinzonjulian

Stimulus Docs MCP Server

by pinzonjulian

handbook-building

Build a practical clipboard controller example to demonstrate Stimulus patterns, CSS classes, and JavaScript-HTML connections for real-world applications.

Instructions

Build a real-world clipboard controller example - demonstrates practical Stimulus patterns, CSS classes, and connecting JavaScript to HTML elements

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The core handler function for the 'handbook-building' tool (shared with other doc tools). It reads the specific markdown file using readMarkdownFile(path.join(folder, file)) where folder/file come from config, and returns the content as MCP text response or error message.
    async () => {
      try {
        const content = await readMarkdownFile(path.join(folder, file));
        return {
          content: [
            {
              type: "text",
              text: content
            }
          ]
        };
      } catch (error) {
        const errorMessage = error instanceof Error ? error.message : String(error);
        return {
          content: [
            {
              type: "text",
              text: `Error reading ${file}: ${errorMessage}`
            }
          ]
        };
      }
    }
  • Schema/configuration entry in docFiles array that defines the parameters for the 'handbook-building' tool: folder, file path, name, and description used in registration.
    {
      folder: 'handbook',
      file: '03_building_something_real.md',
      name: 'handbook-building',
      description: 'Build a real-world clipboard controller example - demonstrates practical Stimulus patterns, CSS classes, and connecting JavaScript to HTML elements'
    },
  • src/index.ts:17-45 (registration)
    Registration code that dynamically registers the 'handbook-building' tool by looping over docFiles config and calling server.tool(name, description, handlerFn) for each documentation tool.
    docFiles.forEach(({ folder, file, name, description }) => {
      server.tool(
        name,
        description,
        async () => {
          try {
            const content = await readMarkdownFile(path.join(folder, file));
            return {
              content: [
                {
                  type: "text",
                  text: content
                }
              ]
            };
          } catch (error) {
            const errorMessage = error instanceof Error ? error.message : String(error);
            return {
              content: [
                {
                  type: "text",
                  text: `Error reading ${file}: ${errorMessage}`
                }
              ]
            };
          }
        }
      );
    });
  • Supporting helper function readMarkdownFile that implements the file fetching logic (cache first, then GitHub raw, then local fs) called by the tool handler to get the markdown content.
    export async function readMarkdownFile(filename: string): Promise<string> {
      const filePath = path.join(docsFolder, filename);
      if (!filePath.startsWith(docsFolder)) {
        throw new Error("Invalid file path");
      }
      
      // Get current commit info if we don't have it yet
      if (!mainBranchInfo) {
        try {
          const commitInfo = await fetchMainBranchInformation();
          const cacheKey = `${commitInfo.sha.substring(0, 7)}-${commitInfo.timestamp}`;
          mainBranchInfo = {
            ...commitInfo,
            cacheKey
          };
        } catch (shaError) {
          console.error('Failed to get GitHub commit info, falling back to direct fetch');
        }
      }
      
      // Try to read from cache first if we have commit info
      if (mainBranchInfo) {
        const cachedFilePath = path.join(cacheFolder, mainBranchInfo.cacheKey, filename);
        try {
          const content = await fs.promises.readFile(cachedFilePath, "utf-8");
          console.error(`Using cached content for ${mainBranchInfo.cacheKey}: ${filename}`);
          return content;
        } catch (cacheError) {
          // Cache miss, continue to fetch from GitHub
        }
      }
      
      // Fetch from GitHub
      try {
        return await fetchFromGitHub(filename, mainBranchInfo?.cacheKey);
      } catch (githubError) {
        console.error(`GitHub fetch failed: ${githubError}, attempting to read from local files...`);
        
        // Fallback: read from local files
        try {
          return await fs.promises.readFile(filePath, "utf-8");
        } catch (localError) {
          const githubErrorMessage = githubError instanceof Error ? githubError.message : String(githubError);
          const localErrorMessage = localError instanceof Error ? localError.message : String(localError);
          throw new Error(`Failed to read file from GitHub (${githubErrorMessage}) and locally (${localErrorMessage})`);
        }
      }
    }
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions building an example but doesn't clarify if this is a read-only demonstration, a code generator, or an interactive tutorial. Key details like execution time, side effects, or output format are missing, leaving significant gaps in understanding the tool's behavior.

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 a single, well-structured sentence that efficiently conveys the tool's purpose and key components. It avoids redundancy and is front-loaded with the main action ('Build a real-world clipboard controller example'), though it could be slightly more concise by integrating the demonstrative aspect more smoothly.

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 tool produces (e.g., code snippets, a live demo, documentation) or how it integrates with the broader handbook context. For a tool in a learning environment, more details on educational outcomes or usage context would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately focuses on the tool's purpose without unnecessary parameter details, meeting the baseline for tools with no parameters.

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: 'Build a real-world clipboard controller example' with specific components like Stimulus patterns, CSS classes, and JavaScript-HTML connections. It distinguishes itself from siblings like 'handbook-introduction' or 'reference-actions' by focusing on a practical example, though it doesn't explicitly contrast with all siblings.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description implies it's for learning or demonstration purposes, but it doesn't specify prerequisites, target audience, or scenarios where other tools like 'handbook-resilience' or 'reference-controllers' might be more appropriate.

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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