Five tools with basic schemas and descriptions, but significant gaps in parameter documentation, error handling, and output schema clarity. All tools have descriptions (10-50 chars, below the 50-200 char baseline for LLM optimization). Schemas present but parameters lack detailed constraints and format guidance. No evidence of error recovery patterns, confirmation steps for destructive operations, or output schema documentation. Risk annotations (READ_ONLY, WRITE) are present but not integrated into tool definitions as formal annotations.

• Expand all tool descriptions to 50-200 characters. Include WHAT the tool does, WHEN to use it, and any prerequisites. E.g., 'Get the current stock price for a ticker symbol. Returns price in USD, updated every 15 minutes during market hours (9:30 AM - 4:00 PM ET). Use this before executing trades to check current market conditions.'
• Add formal output schema documentation for each tool. Specify return type (object/array), required fields, and field types. E.g., get_stock_price returns {ticker: string, price: number, currency: string, timestamp: ISO8601, source: string}.
• Add confirmation/dry-run pattern to execute_trade. Require a separate confirm_trade(trade_id) call after preview, or add a 'dry_run' boolean parameter that returns estimated outcome without executing.
• Implement path traversal protection for read_file. Restrict to a whitelist of allowed directories, reject absolute paths and '..' sequences, and document the restriction in the parameter description.
• Add permission checks and audit logging to query_patient_records. Verify caller has HIPAA-compliant access, log all queries with user ID and timestamp, and document compliance requirements in the tool description.