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semantic-hints-pattern.md5.81 kB
# Semantic Hints Pattern Based on analysis of the WordPress MCP implementation, this document explains the **semantic hints pattern** where tools provide contextual guidance for workflow continuation. ## Key Insight Tools don't just return data - they return **semantic hints** about what to do next. This creates a natural workflow chain without hardcoding sequences. ## Pattern Structure ### 1. Tools Return Semantic Hints Each tool includes `nextSteps` and/or `suggestions` in its response: ```javascript // From WordPress MCP - submit-for-review.js return { success: true, postId: updatedPost.id, title: updatedPost.title.rendered, status: updatedPost.status, message: `"${updatedPost.title.rendered}" submitted for editorial review`, // Workflow guidance - what happens next nextSteps: [ 'Editors will be notified of your submission', 'You can check the status using view-editorial-feedback', 'You may receive feedback or requests for changes', ], }; ``` ### 2. Two Types of Hints #### `nextSteps` - Workflow Guidance - General guidance about the workflow - Educational hints about what happens next - Process-oriented suggestions #### `suggestions` - Specific Operations - Concrete operations the user can execute - Include relevant IDs and context - Action-oriented commands ### 3. Context-Aware Generation Hints are generated based on: - Current state of entities - User's role/personality - Previous operations - Business rules ## Implementation in Targetprocess MCP ### Example: show-my-tasks Operation ```typescript return { content: [...], // Workflow guidance based on state nextSteps: [ 'Focus on high-priority items first', 'Consider completing some in-progress tasks before starting new ones', 'Address blocked items or escalate impediments' ], // Specific executable suggestions suggestions: [ 'start-working-on 12345 # Authentication Feature', 'update-progress 12346 # Been in progress for 5 days', 'resolve-blocker 12347', 'log-time 12345' ] }; ``` ### Benefits of This Pattern 1. **Natural Workflow Discovery** - Users learn the system through use - AI agents can follow logical workflows - No need to document every possible sequence 2. **Dynamic Adaptation** - Hints change based on current state - Personalized to user's role - Responds to business context 3. **Decoupled Architecture** - Tools don't need to know about each other - Workflows emerge from individual tool hints - Easy to add new tools without breaking flows 4. **AI-Friendly** - LLMs can parse and suggest next actions - Creates conversational flow - Reduces need for complex prompting ## Implementation Guidelines ### 1. Every Tool Should Provide Hints ```typescript class SemanticOperation { async execute(context, params) { // Perform operation... return { // Data results data: resultData, // Always include hints nextSteps: this.generateNextSteps(resultData, context), suggestions: this.generateSuggestions(resultData, context) }; } } ``` ### 2. Make Hints Contextual ```typescript private generateNextSteps(result, context) { const steps = []; if (result.status === 'blocked') { steps.push('Identify and communicate the blocker to your team lead'); steps.push('Consider working on other tasks while blocked'); } if (context.personality === 'developer') { steps.push('Update your progress in the daily standup'); } else if (context.personality === 'scrum-master') { steps.push('Review team impediments in the impediment board'); } return steps; } ``` ### 3. Include Actionable Suggestions ```typescript private generateSuggestions(result, context) { const suggestions = []; // Include IDs and context suggestions.push(`complete-task ${result.taskId} # Ready for review`); // Add helpful context as comments suggestions.push(`start-working-on ${result.nextTaskId} # High priority`); // Chain related operations if (result.requiresTimeLog) { suggestions.push(`log-time ${result.taskId} # Don't forget to log your hours`); } return suggestions; } ``` ## Personality Integration The personality system filters available tools, but tools provide hints about what's possible within that personality: ```typescript // Contributor personality sees: nextSteps: [ 'Submit your draft for review when ready', 'You can save and continue editing later' ] // Editor personality sees: nextSteps: [ 'Review pending submissions', 'Publish approved content', 'Provide feedback to contributors' ] ``` ## Example Workflow Chain ``` User: "Show my tasks" ├─→ Response includes suggestions: │ - "start-working-on 123 # Payment Integration" │ User: "start-working-on 123" ├─→ Response includes nextSteps: │ - "Break down the task into subtasks if needed" │ - "Set up your development environment" │ - suggestions: ["create-subtask 123", "update-progress 123"] │ User: "create-subtask 123" ├─→ Response includes nextSteps: │ - "Assign subtasks to team members" │ - suggestions: ["assign-task 456 # to John", "estimate-task 456"] ``` ## Summary The semantic hints pattern transforms static tool responses into dynamic workflow guidance. By having each tool suggest what comes next, we create: 1. **Self-documenting workflows** - Tools teach users the process 2. **Emergent patterns** - Workflows arise naturally from tool use 3. **Contextual intelligence** - Hints adapt to current state 4. **AI-friendly interfaces** - LLMs can follow and suggest next steps This pattern is crucial for creating intuitive, workflow-aware AI tools that guide users through complex processes without rigid programming.

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