EuConquisto Composer MCP

# Multi-Tool Architecture Implementation Plan **EuConquisto Composer MCP Server - Specialized Tools Approach** **Document Version**: 1.2.0 **Created**: 2025-07-10 **Updated**: 2025-07-10 **Status**: ✅ ALL PHASES COMPLETE - Production Ready **Priority**: High - Critical for resolving 500 error debugging issues --- ## 🎯 **Objective** Replace the current monolithic `create_educational_composition` tool with 4 specialized tools to improve error isolation, debugging capabilities, and maintainability. ## 📋 **Current Problems** - **Monolithic Tool Scope**: Single tool handles 7 distinct operations - **Error Isolation Failure**: Cannot determine where in the process failures occur - **Debugging Complexity**: 500 errors provide no actionable information - **No Intermediate Validation**: Cannot inspect data between transformation steps --- ## 🏗️ **Proposed Architecture** ### **Current Flow** ``` Claude → get_lesson_guidance → create_educational_composition (monolithic) ↓ [7 operations in black box] ↓ Success/500 Error ``` ### **New Specialized Flow** ``` Claude → get_lesson_guidance ↓ validate_lesson_data ↓ format_for_composer ↓ save_composition_api ↓ open_composition_editor ``` --- ## 📝 **Implementation Tasks** ### **Phase 1: Tool Design & Specification** **Duration**: 1-2 hours **Goal**: Define exact interfaces and responsibilities - [x] **Task 1.1**: Define `validate_lesson_data` tool specification ✅ - Input schema: Claude's lesson data format - Output schema: Validation results with specific error details - Validation rules: Required fields, data types, content constraints - **Completed**: Full specification with 68+ validation rules created - [x] **Task 1.2**: Define `format_for_composer` tool specification ✅ - Input schema: Validated lesson data - Output schema: Composer-compatible JSON structure - Intelligence level: Deterministic vs AI-enhanced formatting - **Completed**: Educational intelligence and content-based adaptations specified - [x] **Task 1.3**: Define `save_composition_api` tool specification ✅ - Input schema: Formatted composition JSON - Output schema: API response details, composition ID - Error handling: HTTP status codes, API error messages - **Completed**: Comprehensive error analysis and debugging capabilities - [x] **Task 1.4**: Define `open_composition_editor` tool specification ✅ - Input schema: Composition ID and base URL - Output schema: Navigation success/failure with detailed error info - Browser management: Session handling, error capture - **Completed**: Navigation debugging and page health assessment ### **Phase 2: Core Tool Implementation** **Duration**: 2-3 hours **Goal**: Implement the 4 specialized tools - [x] **Task 2.1**: Implement `validate_lesson_data` tool ✅ - Validate metadata structure (topic, duration, objectives) - Validate widgets array (required fields, valid types) - Check content completeness (no empty text, valid URLs) - Validate educational flow (logical progression) - **Completed**: 500+ lines, 68+ validation rules, 100% test success - [x] **Task 2.2**: Implement `format_for_composer` tool ✅ - Extract current formatting logic from claude-guided-composer.js - Add content-based intelligence (text length → widget sizing) - Add educational intelligence (learning flow optimization) - Add Composer compatibility checks - **Completed**: 600+ lines, educational intelligence, subject optimizations - [x] **Task 2.3**: Implement `save_composition_api` tool ✅ - Extract authentication logic (JWT, localStorage extraction) - Extract API call logic (FormData creation, fetch request) - Enhanced error reporting (detailed API response logging) - Response validation (ensure proper composition ID extraction) - **Completed**: 500+ lines, comprehensive API debugging, error analysis - [x] **Task 2.4**: Implement `open_composition_editor` tool ✅ - Extract navigation logic (URL construction, browser automation) - Enhanced error capture (page load status, console errors) - Success validation (ensure composition loads properly) - Detailed debugging output (final URL, page status) - **Completed**: 450+ lines, navigation health assessment, page monitoring ### **Phase 3: Integration & Testing** **Duration**: 1-2 hours **Goal**: Integrate tools and test the complete workflow - [x] **Task 3.1**: Update MCP server tool registration ✅ - Remove monolithic `create_educational_composition` tool - Register 4 new specialized tools - Update tool descriptions and schemas - **Completed**: New MCP server v5.0.0 with 5-tool architecture - [x] **Task 3.2**: Update Claude guidance instructions ✅ - Modify `get_lesson_guidance` output to instruct sequential tool usage - Provide clear workflow steps for Claude to follow - Add error handling guidance for each tool - **Completed**: Multi-tool workflow instructions with benefits explanation - [x] **Task 3.3**: Test individual tools in isolation ✅ - Test `validate_lesson_data` with various input formats - Test `format_for_composer` with validated data - Test `save_composition_api` with formatted data - Test `open_composition_editor` with saved composition ID - **Completed**: 6/6 individual tests passed (100% success rate) - [x] **Task 3.4**: Test complete multi-tool workflow ✅ - End-to-end test: "Crie uma aula de ciências sobre o sistema solar" - Verify error isolation works at each step - Confirm debugging information is actionable - **Completed**: Integration test passed with 16/16 validation checks ### **Phase 4: Advanced Intelligence Features** **Duration**: 2-3 hours (Optional Enhancement) **Goal**: Add AI-enhanced formatting and validation - [ ] **Task 4.1**: Implement intelligent widget selection validation - Content analysis: text complexity → appropriate widget types - Educational analysis: learning objectives → widget alignment - Flow analysis: cognitive load distribution optimization - [ ] **Task 4.2**: Implement adaptive formatting intelligence - Dynamic property adjustment based on content characteristics - Educational best practices enforcement (assessment placement, etc.) - Composer-specific optimizations (layout, performance) - [ ] **Task 4.3**: Implement enhanced error diagnostics - Predictive error detection (likely to cause 500 errors) - Content quality assessment (engagement, educational value) - Composer compatibility scoring --- ## 🎯 **Success Criteria** ### **Immediate Goals (Phases 1-3)** - [x] **Error Isolation**: Can identify exactly which step fails in multi-tool workflow ✅ - [x] **Actionable Debugging**: 500 errors provide specific, fixable information ✅ - [x] **Intermediate Inspection**: Can examine data at each transformation step ✅ - [x] **Selective Retry**: Can retry individual failed steps without full workflow restart ✅ ### **Advanced Goals (Phase 4)** - [ ] **Intelligent Validation**: Prevents 500 errors through predictive content analysis - [ ] **Educational Optimization**: Improves learning outcomes through AI-enhanced formatting - [ ] **Composer Integration**: Optimal compatibility with Composer platform capabilities --- ## 📊 **Technical Specifications** ### **Tool Interface Standards** ```typescript interface ToolInput { [key: string]: any; } interface ToolOutput { success: boolean; data?: any; error?: { code: string; message: string; details: any; }; debug?: { timestamp: string; processingTime: number; additionalInfo: any; }; } ``` ### **Error Code Standards** ``` VALIDATION_ERROR: Invalid input data format FORMAT_ERROR: Composition formatting failure API_ERROR: Composer API save failure NAVIGATION_ERROR: Browser navigation failure COMPOSER_ERROR: Composer rendering failure ``` ### **Debugging Output Standards** ``` [TOOL_NAME] Step X: Description [TOOL_NAME] Input: Data summary [TOOL_NAME] Processing: Status updates [TOOL_NAME] Output: Result summary [TOOL_NAME] Debug: Detailed information ``` --- ## 🔍 **Risk Assessment** ### **Low Risk** - **Tool Interface Design**: Well-defined, similar to existing patterns - **Code Extraction**: Existing logic can be cleanly separated ### **Medium Risk** - **Claude Workflow Adaptation**: Need to train Claude on new multi-tool sequence - **Integration Testing**: Ensuring smooth data flow between tools ### **High Risk** - **Performance Impact**: 4 tool calls vs 1 (mitigated by better debugging) - **Complexity Increase**: More moving parts (mitigated by better error isolation) --- ## 📚 **Implementation Priority** **Phase 1-3: CRITICAL** - Directly addresses current 500 error debugging issues **Phase 4: ENHANCEMENT** - Improves system intelligence and error prevention **Recommendation**: Implement Phases 1-3 immediately to resolve current debugging blindness, then evaluate Phase 4 based on results. --- ## ✅ **Next Actions** 1. **Approve Architecture**: Review and approve this multi-tool approach 2. **Begin Phase 1**: Start with tool specification design 3. **Validate Concept**: Implement one tool as proof-of-concept 4. **Full Implementation**: Complete Phases 1-3 for production readiness --- ## 📈 **Phase 1 Completion Summary** ### **Achievements** - ✅ **4 Complete Tool Specifications**: All tools fully defined with comprehensive interfaces - ✅ **68+ Validation Rules**: Detailed validation for all widget types and content formats - ✅ **Educational Intelligence**: Subject-specific and grade-level adaptations specified - ✅ **Error Code Framework**: Specific error codes for precise debugging at each step - ✅ **Debug Logging Standards**: Comprehensive logging for actionable troubleshooting ### **Key Technical Deliverables** - `TOOL-SPEC-validate_lesson_data.md` - Input validation with educational standards - `TOOL-SPEC-format_for_composer.md` - Intelligent formatting with Composer compatibility - `TOOL-SPEC-save_composition_api.md` - API integration with enhanced error analysis - `TOOL-SPEC-open_composition_editor.md` - Navigation with health assessment ### **Impact on Current Issues** - **500 Error Resolution**: Each tool provides specific error isolation and debugging - **Quiz Question Validation**: Catches malformed questions before API submission - **Authentication Debugging**: Detailed auth extraction and validation steps - **Navigation Analysis**: Comprehensive page health and load verification --- **Status**: ✅ **Phase 1 Complete** - Ready to begin Phase 2 Implementation