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 4 parameters, all typed (float/integer) with descriptions and defaults. However, schema lacks critical constraints: no min/max bounds on numeric params, no enum for elasticity coefficient validation, no output schema documented. Tool implementation ignores passed parameters entirely, client.optimize_price_elasticity() accepts args but mcp_server.py calls client.optimize_price_elasticity() with NO arguments, forcing defaults. This breaks parameter passing and makes the tool non-functional for custom inputs. No error handling, no recovery guidance, no idempotency declaration.

• Rename tool to 'compute_optimal_price' or 'calculate_price_elasticity' to start with an action verb and clarify intent.
• Fix mcp_server.py tools/call handler: extract parameters from payload and pass them to client.optimize_price_elasticity(current_price=..., marginal_cost=..., etc.).
• Add output schema to tool definition: document that response includes optimization_id (string), current_price_usd (float), recommended_optimal_price_usd (float), projected_weekly_demand (integer), current_weekly_profit_usd (float), projected_weekly_profit_usd (float), projected_profit_lift_percentage (string), verdict (string).
• Add numeric constraints to parameters: current_price (minimum: 0.01), marginal_cost (minimum: 0, maximum: current_price), current_weekly_demand (minimum: 1, maximum: 100000), estimated_elasticity_coef (minimum: -5.0, maximum: -0.1).
• Add error handling: validate marginal_cost <= current_price; return actionable error if elasticity_coef > -1.0 with guidance on what elasticity coefficient means.