StockSpark MCP Server

# Vehicle Creation Redesign - Implementation Checklist ## Pre-Implementation - [x] Analyze current implementation - [x] Design new tool architecture - [x] Create migration strategy - [x] Document all decisions ## Phase 1: New Tool Implementation ### `search_vehicle_specs` Tool - [ ] Create tool schema in reference-tools.js - [ ] Implement progressive search logic - [ ] Add fuzzy matching for make/model - [ ] Handle all input combinations - [ ] Return appropriate data level - [ ] Write unit tests - [ ] Test with AI agents ### `compare_vehicle_options` Tool - [ ] Create tool schema - [ ] Implement comparison logic - [ ] Format output for readability - [ ] Handle missing data gracefully - [ ] Write unit tests ### `get_vehicle_template` Tool - [ ] Create tool schema - [ ] Call compileByTrim endpoint - [ ] Format response with template/userFields - [ ] Add validation - [ ] Write unit tests ### `add_vehicle` Enhancement - [ ] Update schema to accept template - [ ] Implement template merging logic - [ ] Maintain backward compatibility - [ ] Add input validation - [ ] Write unit tests ## Phase 2: API Layer Updates ### ReferenceAPI Updates - [ ] Add searchVehicleSpecs method - [ ] Implement progressive logic - [ ] Add response caching - [ ] Error handling improvements ### VehicleAPI Updates - [ ] Update addVehicle for templates - [ ] Add validation methods - [ ] Improve error messages ## Phase 3: Testing ### Unit Tests - [ ] Test each new tool individually - [ ] Test edge cases - [ ] Test error scenarios - [ ] Test fuzzy matching ### Integration Tests - [ ] Complete workflow tests - [ ] Migration scenario tests - [ ] Performance comparisons - [ ] AI agent simulations ## Phase 4: Documentation ### Update Documentation - [ ] Update CLAUDE.md - [ ] Update README.md - [ ] Create tool examples - [ ] Update API docs ### Create Examples - [ ] Basic vehicle creation - [ ] Search and compare flow - [ ] Template-based creation - [ ] Error handling examples ## Phase 5: Migration Support ### Compatibility Layer - [ ] Add deprecation warnings - [ ] Create wrapper functions - [ ] Log usage patterns - [ ] Monitor errors ### Communication - [ ] Announce changes - [ ] Provide migration timeline - [ ] Offer support channels - [ ] Gather feedback ## Phase 6: Rollout ### Deployment - [ ] Deploy to staging - [ ] Test with real data - [ ] Performance monitoring - [ ] Error tracking ### Monitoring - [ ] Track tool usage - [ ] Monitor error rates - [ ] Collect user feedback - [ ] Iterate based on data ## Success Criteria - [ ] All tests passing - [ ] Performance within 10% of current - [ ] AI agents successfully migrated - [ ] Documentation complete - [ ] No breaking changes for 6 months ## Rollback Plan - [ ] Keep old tools available - [ ] Feature flag for new tools - [ ] Quick revert capability - [ ] Communication plan ready ## Notes for Next Session 1. Start with implementing `search_vehicle_specs` 2. Use existing fuzzy matching logic from reference.js 3. Focus on progressive disclosure pattern 4. Ensure backward compatibility throughout 5. Test with real AI agent scenarios early