Strong schema definitions with proper Pydantic models, comprehensive parameter validation, and clear descriptions. All 7 tools have well-structured input schemas with type constraints, enums, and examples. Descriptions are adequate (100-200 chars typical) and explain purpose clearly. However, output schemas are not documented, LLMs cannot predict response structure. Error handling exists but lacks recovery guidance. No tool annotations (readOnlyHint, destructiveHint). Response format flexibility (markdown/json) is a nice touch but adds complexity.

• Document output schemas for all tools. Example: binance_ticker should declare it returns {symbol: string, price: number, volume: number, ...}. Use JSON Schema in tool definition or explicit docstring.
• Add readOnlyHint: true to all tool schemas (via fastmcp annotations if supported, or in description). This signals to LLMs that tools are safe to call without confirmation.
• Enhance error handling in make_api_request(). For 4xx errors, parse Binance error codes and return: 'Invalid symbol: BTCXYZ. Valid symbols: BTCUSDT, ETHUSDT, ...' For 5xx, suggest retry with exponential backoff.
• Clarify binance_exchange_info purpose: 'Returns all trading pairs and their rules (min order size, tick size, etc.). Call this once to discover available symbols before using other tools.'
• Remove response_format parameter or make it server-side only. Always return JSON to LLMs; format conversion for display happens in the client layer, not the tool.