Jira MCP Toolset

# Jira Issue Creation Wizard: Implementation Priority Guide - (IGNORE) This document outlines the prioritized implementation steps for the Jira Issue Creation Wizard, organized in the order they should be tackled from the current state. It focuses on creating a conversational, intuitive experience similar to a text-based RPG game, where users can naturally interact with the wizard and check their progress. ## Immediate Steps (Week 1) ### 1. Enhanced State Management Logging 1. Create structured logging framework for state transitions 2. Implement diagnostic logging for all MCP tool operations 3. Add context-rich error messages for each failure case 4. Create debug helper functions to trace state at each step 5. Add entry and exit logs for all state-changing functions 6. Implement MCP Inspector integration points for visualization **Validation Criteria:** - Developers can view detailed logs showing all state transitions - Each error message includes context about the expected state vs. actual state - The MCP Inspector shows a visual representation of state changes - Log files contain entry/exit information for all state-modifying functions - Failed operations include stack traces and state dumps for debugging - We can reproduce and track the exact sequence of the "No active wizard found" error ### 2. State Initialization Redesign 1. Redesign initialization sequence to be more robust 2. Add explicit wizard creation step before state updates 3. Fix "No active wizard found" errors by improving initialization 4. Create clear state validation at each transition point 5. Implement proper error recovery for interrupted sessions 6. Test initialization with various edge cases **Validation Criteria:** - The "No active wizard found" error no longer occurs during normal operation - Wizard initialization succeeds consistently across multiple attempts - Each tool operation properly validates the wizard state before proceeding - Invalid state transitions are prevented with clear error messages - The initialization sequence is documented and easily traceable in logs - Users can reliably start a new wizard session without errors ### 3. State Persistence Enhancement 1. Implement durable state storage mechanism 2. Add session identifiers for wizard instances 3. Create state migration for interrupted sessions 4. Implement periodic state backups during long operations 5. Add recovery mechanisms from serialized state 6. Test state persistence across different operation patterns **Validation Criteria:** - Wizard state persists reliably across function calls and sessions - Interrupted sessions can be recovered without data loss - Session identifiers properly distinguish between wizard instances - State backups are created at key transition points - Recovery mechanism works when sessions are interrupted - Persistence doesn't noticeably impact performance ## Short-term Improvements (Weeks 2-3) ### 4. MCP Resources Integration 1. Create resource URI scheme for wizard state (`jira-wizard://state`) 2. Implement resource provider for exposing current wizard state 3. Add real-time state updates via MCP resource subscriptions 4. Create UI helpers that consume wizard state resources 5. Implement resource templates for Jira entities (projects, issue types, fields) 6. Test resource-based state access patterns **Validation Criteria:** - The wizard state can be accessed using the `jira-wizard://state` URI - Changes to the wizard state trigger resource update notifications - Clients can subscribe to wizard state changes and receive updates - Project, issue type, and field data are accessible via resource URIs - Resource templates allow dynamic access to Jira entities - The wizard state is synchronized across all access methods ### 5. Field Validation Enhancement 1. Complete the `validateAllowedValues` function implementation 2. Update field type validators to handle complex validation cases 3. Implement better error messages for validation failures 4. Add contextual help for fixing validation errors 5. Create unit tests for the validation system 6. Test with various field types and configurations **Validation Criteria:** - Fields are validated against their allowed values and constraints - Invalid entries receive clear, specific error messages - Complex field types (arrays, objects, etc.) are properly validated - Field dependencies are enforced (e.g., if field A requires field B) - Users receive contextual guidance for fixing validation errors - Edge cases like empty values and unusual formats are handled gracefully ### 6. Conversational User Experience - Basic 1. Design narrative-driven prompt templates for wizard steps 2. Implement contextual responses based on current state 3. Add conversational state transitions with natural language 4. Create status command for checking current progress 5. Implement help system with contextual guidance 6. Test basic conversational flow with mock interactions **Validation Criteria:** - Users can interact with the wizard using natural language commands - The wizard provides contextual responses based on the current state - Users can ask for their current progress and receive a clear status - Help commands provide guidance relevant to the current step - The conversation maintains context between interactions - Basic navigation through the wizard feels conversational and intuitive ## Medium-term Implementations (Weeks 4-6) ### 7. MCP Prompts for Guided Flow 1. Create prompt template for wizard initialization 2. Implement project selection prompt with dynamic options 3. Create issue type selection prompt with helpful descriptions 4. Implement field completion prompts with contextual examples 5. Create review and submission prompts with analysis integration 6. Test complete prompt-based flow with real users **Validation Criteria:** - The wizard provides guided prompts for each step of the process - Project selection prompt shows available projects with descriptions - Issue type selection includes clear explanations of each type - Field completion prompts include examples and guidance - Review prompts highlight potential improvements - The entire flow feels guided and structured - Prompts adapt based on previous selections ### 8. Improved Navigation and Flow 1. Implement "go back" functionality between wizard steps 2. Create "save point" functionality to preserve partial work 3. Add resume capabilities for interrupted sessions 4. Implement state visualization for complex processes 5. Create transition guidance between steps 6. Test navigation with various user workflows **Validation Criteria:** - Users can navigate backwards to previous steps with "go back" functionality - Save points allow sessions to be paused and resumed later - Interrupted sessions can be recovered with their complete context - Users receive guidance when transitioning between steps - The wizard state is visualized clearly at each step - Navigation feels natural and maintains context ### 9. Text-Based RPG Style Interactions 1. Design narrative framework for the wizard experience 2. Implement progressive storytelling elements for each step 3. Create "character" voice for the wizard assistant 4. Add achievement and progress elements 5. Implement contextual storytelling based on issue type 6. Test complete RPG-style experience with focus groups **Validation Criteria:** - The wizard has a consistent narrative voice and "character" - Each step includes storytelling elements that guide users - Achievement indicators celebrate progress milestones - The narrative adapts based on issue type and context - The storytelling enhances the experience without being distracting - Users report higher engagement and satisfaction with the process ## Long-term Enhancements (Weeks 7+) ### 10. Natural Language Command Processing 1. Implement intent recognition for common commands 2. Create flexible command aliases for improved usability 3. Add fuzzy matching for command recognition 4. Implement context-aware command suggestions 5. Create adaptive help based on user interaction patterns 6. Test with diverse language inputs and command variations **Validation Criteria:** - The wizard understands varied phrasings of the same command - Command aliases work (e.g., "go back", "return", "previous") - Fuzzy matching handles typos and slight variations - Users receive context-aware command suggestions - The system adapts to individual user patterns over time - A wide range of natural language inputs are recognized correctly ### 11. Advanced Progress Tracking 1. Create narrative progress summaries for complex workflows 2. Implement visual progress indicators compatible with chat interfaces 3. Add intelligent completion time estimates 4. Create contextual tips based on current progress 5. Implement progress sharing capabilities 6. Test progress tracking with various workflow complexities **Validation Criteria:** - Users receive clear, narrative progress summaries - Visual progress indicators work within chat interfaces - Completion time estimates are provided and reasonably accurate - Contextual tips help users complete their current step - Progress can be shared or transferred between sessions - Users always know where they are in the process and what's next ### 12. Integration with Analysis and Best Practices 1. Connect wizard flow with existing analysis functions 2. Implement real-time quality feedback during field completion 3. Create suggestion system for improving issue quality 4. Add best practice guidance specific to issue types 5. Implement "quality score" with improvement recommendations 6. Test analysis integration with various issue scenarios **Validation Criteria:** - Users receive real-time quality feedback as they complete fields - The wizard provides specific suggestions to improve issue quality - Best practice guidance is tailored to the issue type - A "quality score" helps users understand issue completeness - Analysis results match what expert reviewers would suggest - The resulting issues follow agile/scrum best practices ## New MCP Tool Definitions To support the conversational experience, the following new tools should be implemented: 1. `issueCreation_checkProgress` - Get the current wizard progress in narrative form 2. `issueCreation_goBack` - Return to previous step in the wizard 3. `issueCreation_savePoint` - Create a named save point for the current state 4. `issueCreation_getHelp` - Get contextual help for the current wizard state ## Testing Strategy ### Immediate Testing Focus - Verify state initialization works correctly in all scenarios - Test state transitions with extensive logging enabled - Validate error messages provide clear guidance - Ensure state persistence works reliably - Verify field validation handles all edge cases ### Secondary Testing Focus - Test conversational flow with mock conversations - Verify resource-based state access works correctly - Validate prompt-based interactions guide users effectively - Test navigation between steps in various sequences - Ensure RPG-style elements enhance the experience ## Overall Success Criteria **The implementation will be considered successful when:** 1. The wizard consistently initializes without errors 2. Users can navigate through the wizard using natural language 3. The experience feels like a guided, conversational journey 4. Field validation prevents invalid submissions 5. Users receive helpful guidance throughout the process 6. The resulting issues follow best practices 7. The narrative elements enhance rather than distract 8. The wizard state persists reliably across operations ## Integration with Model Context Protocol This implementation leverages two key MCP concepts: 1. **MCP Resources** - For exposing wizard state and Jira entities as addressable resources 2. **MCP Prompts** - For creating guided, conversational interaction templates By combining these capabilities with enhanced state management and a conversational interface, the Jira Issue Creation Wizard will provide an intuitive, text-based RPG-like experience for creating well-structured Jira issues.