Single tool 'rrla_reasoner' has a French description that is vague and does not explain WHEN to use it or what it returns. Input schema is present but parameters lack descriptions (context, reasoning_chain, hypotheses, graph, cognitive_events, ascii_table, intro_monologue are all undescribed). No output schema is documented. The tool name does not follow verb_noun convention (should be 'run_rrla_reasoning' or 'analyze_with_rrla'). No error handling guidance. The implementation is a mock/simulation (run_rrla_engine returns hardcoded structures) rather than a real reasoning engine, raising questions about production readiness.

• Rename tool to 'run_rrla_reasoning' or 'analyze_with_rrla' to follow verb_noun convention and signal the action to LLMs.
• Rewrite description in English (or primary language) with 50-200 characters explaining: (1) What it does: 'Analyzes user input using the RRLA reasoning engine, generating structured reasoning chains, conceptual graphs, and multi-perspective analysis.' (2) When to use: 'Call when you need deep reasoning, hypothesis generation, or multi-angle analysis of a complex question.' (3) What it returns: 'Structured reasoning output including intro monologue, reasoning steps, conceptual graph, ASCII visualizations, and self-feedback.'
• Add descriptions to all input parameters: context='Optional dict providing background info for reasoning', reasoning_chain='Optional list of prior reasoning steps to build upon', hypotheses='Optional list of hypothesis strings to explore', graph='Optional GraphStructure object representing concept relationships', granularity='Analysis level: macro (high-level), meso (medium), micro (detailed)', cognitive_events='Optional list of cognitive events to track', ascii_table='Optional ASCII table for complex data visualization', intro_monologue='Optional introductory monologue to seed reasoning'.
• Document output schema: 'Returns object with fields: intro_monologue (str), reasoning_chain (array of ReasoningStep), ascii_table (str), graph (GraphStructure), self_feedback (str), final_output (str).'
• Implement actual reasoning logic or clearly mark this as a prototype/demo. If mock, add disclaimer: 'This is a simulation. For production, integrate with a real reasoning engine or LLM provider.'