Single tool with basic schema and description. Tool name follows verb_noun pattern (search_gas_prices). Description is adequate (71 chars) but lacks context on when to use vs alternatives, prerequisites, or failure modes. Input schema present with types and descriptions for both parameters. However, output is returned as plain string rather than structured JSON, forcing LLM to parse unstructured text. No error handling guidance, no pagination support, no output schema documentation. Parameter descriptions are minimal (location: 67 chars, fuel_type: 68 chars) but present. Missing critical patterns: no recovery guidance on failures, no rate limiting, no timeout documentation, no idempotency guarantees.

• Return structured JSON with fields: {stations: [{name, price, address, is_cash, fuel_type}], location, timestamp, total_count}. Document this schema in tool description.
• Add error handling: distinguish between 'invalid location', 'service unavailable', 'no results found' and provide recovery guidance (e.g., 'Try a nearby city' or 'Check if GasBuddy is accessible').
• Expand tool description to 150-200 chars: explain when to call it (user asks for gas prices), what it returns (sorted list of cheapest stations), and limitations (depends on GasBuddy availability, may fail if site structure changes).
• Add timeout parameter (default 30s) and document it. Return timeout errors with retry guidance instead of hanging.
• Document idempotency: repeated calls with same location/fuel_type return same results (safe to retry). Add rate-limit guidance: recommend 1-2 second delays between calls to avoid overwhelming the scraper.