Single tool with critical definition gaps. Tool name 'optimize_price_elasticity' lacks action verb prefix (should be 'compute_' or 'calculate_'). Description is adequate (89 chars, within 10-1024 range) but lacks WHEN/WHY guidance. Input schema present with types and defaults, but parameter descriptions are minimal (10-30 chars each), below the 72-char baseline. No output schema documented despite returning 10+ fields. No error handling guidance. Tool definition is visible in code but MCP registration in tools/list lacks input schema entirely, only name and description returned, forcing schema inference from client.py. This violates pattern:tool-description and pattern:constrained-input.

• Rename tool to 'compute_optimal_price' or 'calculate_revenue_maximizing_price' to lead with action verb.
• Add input schema to tools/list response: include 'inputSchema' with JSON Schema defining all four parameters, their types, ranges (e.g. current_price > marginal_cost), and descriptions (50-100 chars each).
• Document output schema in tool description and as a separate schema field. Example: 'Returns object with fields: optimization_id (string), current_price_usd (float), recommended_optimal_price_usd (float), projected_weekly_demand (int), current_weekly_profit_usd (float), projected_weekly_profit_usd (float), projected_profit_lift_percentage (string), verdict (enum: PRICE_DECREASE_EXPANDS_TOTAL_MARGIN | PRICE_INCREASE_YIELDS_MARGIN).'
• Expand parameter descriptions to 50-100 chars. E.g. 'estimated_elasticity_coef: Price elasticity of demand (typically -0.5 to -3.0; must be ≤-1.0 for optimization). Negative values indicate normal goods.'
• Add error handling: validate elasticity_coef ≤ -1.0 and return actionable error if violated. E.g. 'Invalid elasticity coefficient: {value}. Must be ≤ -1.0 (elastic demand). If unknown, use -1.5 as default.'