Two tools with basic verb-noun naming and present schemas, but significant gaps in parameter descriptions and output documentation. Both tools lack descriptions for their parameters (threshold, limit, startDate, endDate), violating the critical rule that every parameter needs a description. Output schemas are not documented, LLMs cannot plan downstream calls or extract required fields. Error handling is absent; no guidance on what to do if queries fail or return empty. Tool descriptions are adequate (150 - 180 chars) but lack WHEN to use hints or prerequisites. No input validation rules stated (e.g., date format enforcement, threshold bounds). Schemas use proper JSON types but lack required/optional declarations and constraints.

• Add descriptions to all parameters. Example: 'startDate: Start date in YYYY-MM-DD format (default: yesterday). Must be on or before endDate.' This tells LLMs the format, default, and constraint.
• Document output schemas in tool descriptions. Example: 'Returns {period: string, revenue: float, orders: int, average_cart: float, top_product: string}.' This enables LLMs to plan downstream calls.
• Add input validation and error guidance. Example: 'If threshold is negative or limit exceeds 100, returns error: "Invalid parameter: threshold must be 1 - 1000, limit must be 1 - 100."'
• Specify min/max bounds for numeric parameters in the Schema attribute. Use JSON Schema constraints (minimum, maximum) and document them in parameter descriptions.
• Use parameterized queries (prepared statements) instead of string concatenation for all SQL. Replace pSQL() with bound parameters to eliminate SQL injection risk.