PRODUCT REQUIREMENTS DOCUMENT: GIKENDAASOWIN AABAJICHIGANAN MCP SERVER

Author: ᓂᐲᔥ ᐙᐸᓂᒥᑮ-ᑭᓇᐙᐸᑭᓯ (Nbiish Waabanimikii-Kinawaabakizi) | Date: September 2, 2025 | Version: 8.9.6

1. OBJECTIVE

Purpose: Enable LLMs to leverage advanced cognitive deliberation frameworks for enhanced problem-solving through a structured 6-stage process that prompts LLMs to evaluate and select optimal cognitive techniques dynamically rather than providing pre-calculated solutions.

2. SCOPE

In-Scope Features:

• LLM-guided cognitive technique evaluation using 0.00-0.99 scoring system
• 6-stage deliberation framework (Scientific Investigation → OOReD → Critical Thinking → Reviews → Action)
• 15 modern prompting strategies for dynamic LLM selection
• ≥1.53 threshold rule for strategy combination and selection
• Iterative re-deliberation encouragement with tool usage estimation

Out-of-Scope:

• Hardcoded cognitive evaluations or pre-calculated strategy selections
• Complex UI interfaces or visual components
• Real-time collaborative deliberation features

3. USER EXPERIENCE

User Flow:

1. LLM calls deliberate(input: string, context?: string)
2. Tool provides structured 6-stage cognitive framework
3. LLM evaluates 15 cognitive techniques with solution/efficiency ratings
4. LLM selects techniques scoring ≥1.53 for implementation
5. LLM receives guidance to return to deliberate after using recommended tools

4. STRUCTURE → 'camel' workflow → QAMMML (Quanta Atoms Molecule Matter Matter-Phase Lifeform)

Quanta: Individual cognitive technique evaluations (0.00-0.99 scores)

Atoms: Single-stage deliberation components (Scientific Investigation, OOReD, Critical Thinking, etc.)

Molecules: 6-stage deliberation cycles combining multiple cognitive processes

Matter: Complete deliberation framework with technique selection and tool recommendations

Matter Phases: LLM-guided implementation cycles using selected cognitive techniques

Lifeforms: Enhanced AI reasoning capabilities through systematic cognitive deliberation

5. FUNCTIONAL REQUIREMENTS

Core Features

• LLM-Guided Evaluation: Tool prompts LLM to evaluate cognitive techniques rather than providing hardcoded scores
• Dynamic Strategy Selection: 15 modern prompting strategies available for LLM assessment
• Structured Framework: 6-stage deliberation process with critical thinking questions
• Threshold-Based Selection: ≥1.53 scoring rule for technique combination
• Tool Integration Planning: Recommendations for tool usage and re-deliberation timing

6. NON-FUNCTIONAL REQUIREMENTS

Performance: Fast framework delivery (<2s), scalable to multiple concurrent deliberations Usability: Single-parameter simplicity (input + optional context), clear structured prompts Security: No data persistence, stateless operation, input sanitization Compatibility: MCP protocol compliance, TypeScript/Node.js environment, npm package distribution

7. ASSUMPTIONS & CONSTRAINTS

Assumptions:

• LLMs can effectively evaluate cognitive techniques using numerical scoring
• 0.00-0.99 scoring system provides sufficient granularity for technique selection
• Users prefer LLM-guided evaluation over pre-calculated recommendations

Constraints:

• Technology: TypeScript, Node.js, MCP protocol specification
• Architecture: Single-function tool interface with structured prompt output
• Cognitive Framework: Must adhere to 6-stage deliberation process from new-mcp-flow.md

8. SUCCESS METRICS

Key Performance Indicators:

• Tool adoption rate: Target >80% preference over hardcoded approaches
• LLM technique selection accuracy: Target >90% appropriate technique selection
• Re-deliberation engagement: Target >60% users return to deliberate with tools as recommended
• Problem-solving improvement: Target >40% better solution quality versus baseline

9. Knowledge Base

Knowledge Base:

• new-mcp-flow.md: Complete flow specification and images
• modern-prompting.mdc: 15 cognitive techniques for LLM evaluation
• latest.md: Integration guidelines and implementation notes
• REFACTOR_SUMMARY.md: Migration from hardcoded to LLM-guided approach

10. ACCEPTANCE CRITERIA

Core Functionality:

• Tool prompts LLM for technique evaluation instead of providing pre-calculated scores
• All 15 cognitive techniques from modern-prompting.mdc are presented for evaluation
• 0.00-0.99 scoring system with ≥1.53 threshold rule implemented correctly
• 6-stage deliberation framework follows new-mcp-flow.md specification exactly
• Tool encourages iterative re-deliberation with estimated tool usage counts

Quality Standards:

• Performance meets sub-2-second response targets
• No hardcoded cognitive evaluations remain in codebase
• MCP protocol compliance verified through testing
• TypeScript compilation successful with no errors

11. OPEN QUESTIONS

• How to measure long-term cognitive improvement in LLM problem-solving?
• Should we add analytics to track which cognitive techniques are most frequently selected?
• What is the optimal tool usage count recommendation for complex problems?

---

PRD BEST PRACTICES CHECKLIST

• Use clear, unambiguous language
• Include specific, measurable requirements
• Define success criteria objectively
• Balance detail with conciseness
• Treat PRD and Knowledge Base as living documents
• Reference PRD and Knowledge Base throughout development lifecycle

---

This PRD documents the successful implementation of LLM-guided cognitive deliberation as specified in new-mcp-flow.md. The tool now functions as a cognitive framework enhancer rather than a prescriptive system.