12 tools with inconsistent quality. Tool names follow verb_noun convention well (game_state, list_companies, dispatch_route). Descriptions range 20 - 150 chars but many are vague about prerequisites and return structure. Input schemas visible but severely incomplete: 10 of 12 tools declare empty properties {} with no parameters documented. No output schemas documented. Error handling absent. Security concerns: update_squirrel_ai is marked DESTRUCTIVE with only env-gating, no permission checks or confirmation pattern.

• Add explicit input schemas to all 12 tools. For dispatch_route, document required params (from_town, to_town, vehicle_type, etc.) with types, enums, and descriptions. For update_squirrel_ai, require a 'source_code' string param and 'confirm' boolean param to enforce confirmation pattern.
• Document output schemas for all tools. E.g., list_towns should return {towns: [{name: string, population: int, x: int, y: int}], total: int}. This enables LLMs to chain tools (e.g., get town coords from list_towns, pass to dispatch_route).
• Expand descriptions to 100 - 200 chars. E.g., dispatch_route: 'Plan and dispatch a vehicle route between two towns or stations. Requires source and destination town names. Returns route ID and estimated profit. Call list_towns first to see available destinations.'
• Add permission gates and confirmation for update_squirrel_ai. Require explicit 'confirm=true' param and validate caller has ADMIN role. Return a dry-run result first (syntax check, diff) before live reload.
• Implement error classification and recovery guidance. E.g., dispatch_route failure: 'Route planning failed: no path found between Chino and Springfield. Try towns closer together or check if stations exist.' Include actionable next steps (list_towns, list_stations).