Single tool with basic schema and description. Tool name lacks action verb (should be 'solve_' or 'find_'). Description is adequate (89 chars) but generic. Input schema present with types and descriptions for all 4 parameters, meeting baseline. However, output schema is completely undocumented, LLMs cannot plan downstream actions or validate results. No error handling guidance, no parameter constraints (enums, ranges), no documentation of edge cases (singular games, degenerate payoffs). Tool is read-only but lacks explicit idempotentHint annotation. No pagination, no result limits documented. Composition is sound (single responsibility) but lacks production polish.

• Document complete output schema: specify that 'pure_equilibria' is a list of tuples [action1, action2, payoff1, payoff2], and 'mixed_equilibrium' is a dict with 'p1_strategy' and 'p2_strategy' keys mapping action names to probabilities (or null if no mixed NE exists).
• Rename tool to 'solve_nash_equilibria' to signal computation. Update description to clarify: 'Computes all pure-strategy and mixed-strategy Nash equilibria for 2x2 bimatrix games using support enumeration and indifference equations.'
• Add input validation: document that p1_actions and p2_actions must each have exactly 2 elements; payoff matrices must be 2x2 floats. Return structured error: {'error': 'Invalid game: expected 2x2 matrices, got 2x3', 'code': 'DIMENSION_MISMATCH'} instead of None.
• Add idempotentHint annotation to tool definition to signal that repeated calls with identical inputs always return identical results (safe for retry).
• Document edge cases in description: 'Returns null for mixed_equilibrium if game is degenerate (zero denominator) or mixed strategy probabilities fall outside [0,1]. Pure equilibria always computable.'