This server exhibits significant quality gaps across naming, descriptions, and schema completeness. While 9 tools are registered with basic schemas, most lack depth in parameter documentation and output schema specification. Tool names are inconsistent (mix of verb_noun and noun patterns). Descriptions are present but generic (10-50 chars), falling below the 50-200 char baseline for LLM optimization. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite all tools being READ_ONLY. Error handling is minimal, no recovery guidance or actionable error messages visible in code. The codebase shows multiple independent implementations (Python FastMCP, Go servers) with no unified quality standard.

• Standardize all tool names to verb_noun format (e.g., rename WebTools.BraveSearch → search_web_brave, FinanceTools.YahooStockPrice → get_stock_price_yahoo). Avoid namespace prefixes; use tool descriptions to disambiguate similar tools.
• Expand all descriptions to 50-200 characters. Include WHAT the tool does, WHEN to use it vs alternatives, and what it returns. Example: 'Retrieve historical stock prices from Yahoo Finance. Use this to analyze price trends over time. Returns: date, open, high, low, close, volume. Requires valid ticker symbol (e.g., AAPL).'
• Document output schemas for all tools. Define the structure of returned data (fields, types, required vs optional). E.g., get_stock_prices returns [{date: string (ISO 8601), close: number, volume: number}, ...].
• Add tool annotations to all tools. Since all are READ_ONLY, add 'readOnlyHint: true' to each tool definition. This signals to agents that these calls are safe to retry and have no side effects.
• Add enum constraints for parameters with fixed valid values. E.g., interval in get_stock_prices should be enum: ['1d', '1h', '1m'] rather than free-form string. Include validation error guidance: 'Invalid interval. Must be one of: 1d, 1h, 1m.'