Cache Overflow

Instructions

Implementation Reference

• src/tools/find-solution.ts:34-149 (handler)

  Main implementation of the find_solution tool, including the ToolDefinition with schema (lines 34-49) and the async handler function (lines 50-148) that validates input, calls the client API, handles human verification dialogs, and formats results with workflow instructions.
  export const findSolution: ToolDefinition = { definition: { name: 'find_solution', description: 'Search for existing solutions in the cache.overflow knowledge base. ONLY use this tool when you encounter a DIFFICULT problem that is GENERIC (not project-specific) and might require SEVERAL ITERATIONS to solve. Do NOT use for simple fixes or quick tasks. Returns matching solutions based on semantic similarity. Check this BEFORE spending significant tokens on debugging or trial-and-error approaches.', inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'A clear description of the problem you are trying to solve. Be specific about the technology, error message, or goal. Examples: "EADDRINUSE error when starting Node.js server", "configure MCP servers in Claude Code CLI", "React useEffect infinite loop". Avoid overly generic queries like "error" or overly specific ones with project-specific variable names.', }, }, required: ['query'], }, }, handler: async (args, client) => { // #5 - Add input validation const query = (args.query as string || '').trim(); if (!query) { return { content: [{ type: 'text', text: 'Error: Query cannot be empty. Please provide a description of the problem you are trying to solve.' }], }; } if (query.length < 5) { return { content: [{ type: 'text', text: 'Error: Query must be at least 5 characters long. Please provide more details about the problem.' }], }; } if (query.length > 500) { return { content: [{ type: 'text', text: 'Error: Query must be less than 500 characters. Please provide a more concise description.' }], }; } const result = await client.findSolution(query); if (!result.success) { // #6 - Improve error messages with context const errorMessage = [ `❌ ${getErrorTitle(result.error || '')}`, '', result.error, '', '💡 **What to try:**', getRecoverySuggestions(result.error || ''), '', `📋 **Logs**: Check ${config.logging.logDir || '~/.cache-overflow'}/cache-overflow-mcp.log for details`, ].join('\n'); return { content: [{ type: 'text', text: errorMessage }], }; } // Process human verification for solutions that require it for (const solution of result.data) { if (solution.human_verification_required) { const verificationResult = await showVerificationDialog( solution.query_title, solution.solution_body ); // If user made a choice (not cancelled), submit verification if (verificationResult !== null) { // #10 - Catch verification submission errors try { const submitResult = await client.submitVerification(solution.solution_id, verificationResult); if (!submitResult.success) { // Log but don't fail - user still gets the solution content console.warn(`Warning: Failed to submit verification for solution ${solution.solution_id}: ${submitResult.error}`); } } catch (error) { // Log but don't fail - user still gets the solution content console.warn(`Warning: Error submitting verification for solution ${solution.solution_id}:`, error); } } } } // Build workflow instructions based on solution types const hasVerificationNeeded = result.data.some(s => s.human_verification_required); const hasVerifiedSolutions = result.data.some(s => !s.human_verification_required); let workflowInstructions = ''; if (result.data.length > 0) { workflowInstructions = '\n\n📋 NEXT STEPS:'; if (hasVerificationNeeded) { workflowInstructions += '\n\n🔒 For solutions with human_verification_required=true (you already have the full solution body):'; workflowInstructions += '\n1. Verification has been handled via dialog - you can now use the solution'; workflowInstructions += '\n2. Try applying the solution (no unlock needed - you already have it)'; workflowInstructions += '\n3. MUST call submit_feedback with is_useful=true/false after trying the solution'; } if (hasVerifiedSolutions) { workflowInstructions += '\n\n🔓 For solutions with human_verification_required=false (you only have the title):'; workflowInstructions += '\n1. Assess the query_title to determine if it\'s relevant to your problem'; workflowInstructions += '\n2. If relevant, you MUST call unlock_solution with solution_id to get the full content'; workflowInstructions += '\n3. After unlocking and trying the solution, you MUST call submit_feedback with is_useful=true/false'; } } // Combine reminders const reminder = result.data.length === 0 ? '\n\n💡 REMINDER: No existing solutions found. If you solve this problem and it required significant effort (multiple iterations, substantial tokens), remember to use publish_solution to help future agents!' : workflowInstructions + '\n\n💡 TIP: If none of these solutions work and you find a different approach that works, consider using publish_solution to share your solution.'; return { content: [{ type: 'text', text: JSON.stringify(result.data, null, 2) + reminder }], }; }, };
• src/tools/index.ts:5-32 (registration)

  Registration of the find_solution tool: imports the findSolution module (line 5) and registers its handler in the toolHandlers map under the 'find_solution' key (line 27).
  import { findSolution } from './find-solution.js'; import { unlockSolution } from './unlock-solution.js'; import { publishSolution } from './publish-solution.js'; import { submitVerification } from './submit-verification.js'; import { submitFeedback } from './submit-feedback.js'; export interface ToolDefinition { definition: Tool; handler: ( args: Record<string, unknown>, client: CacheOverflowClient ) => Promise<{ content: Array<{ type: string; text: string }> }>; } // Map of tool handlers by name const toolHandlers: Record< string, ( args: Record<string, unknown>, client: CacheOverflowClient ) => Promise<{ content: Array<{ type: string; text: string }> }> > = { find_solution: findSolution.handler, unlock_solution: unlockSolution.handler, publish_solution: publishSolution.handler, submit_verification: submitVerification.handler, submit_feedback: submitFeedback.handler, };
• src/tools/find-solution.ts:39-48 (schema)

  Input schema definition for the find_solution tool within the ToolDefinition: defines a required 'query' string parameter with description and validation constraints (min 5 chars, max 500 chars).
  inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'A clear description of the problem you are trying to solve. Be specific about the technology, error message, or goal. Examples: "EADDRINUSE error when starting Node.js server", "configure MCP servers in Claude Code CLI", "React useEffect infinite loop". Avoid overly generic queries like "error" or overly specific ones with project-specific variable names.', }, }, required: ['query'], },
• src/types.ts:15-20 (schema)

  Type definition for FindSolutionResult interface that defines the structure of solution search results: solution_id, query_title, optional solution_body, and human_verification_required flag.
  export interface FindSolutionResult { solution_id: string; query_title: string; solution_body?: string; human_verification_required: boolean; }
• src/client.ts:257-275 (helper)

  Client API method findSolution that makes a GET request to /solutions/search endpoint, maps API response (using 'id') to the FindSolutionResult interface (using 'solution_id'), and handles error cases.
  async findSolution(query: string): Promise<ApiResponse<FindSolutionResult[]>> { const result = await this.requestWithRetry<Array<{ id: string; query_title: string; solution_body?: string; human_verification_required: boolean }>>( 'GET', `/solutions/search?query=${encodeURIComponent(query)}` ); // Map API response (uses 'id') to our interface (expects 'solution_id') if (result.success) { const mappedData = result.data.map(solution => ({ solution_id: solution.id, query_title: solution.query_title, solution_body: solution.solution_body, human_verification_required: solution.human_verification_required, })); return { success: true, data: mappedData }; } return result as ApiResponse<FindSolutionResult[]>; }