Three tools present with basic definitions but significant quality gaps. Tool names are generic and lack action-verb clarity. Descriptions exist but are minimal (10-31 chars). Input schemas are present with basic types but parameters lack type annotations in the actual code. Output schemas are not documented. Security issue: hardcoded password in `get_all_data` function body. Error handling is absent, no guidance for LLMs on failure modes or recovery paths.

• Add non-empty, detailed descriptions to all tools. Target 50 - 200 chars. Include WHAT the tool does, WHEN to use it, and any prerequisites. Example: 'Adds two integers. Use when you need to compute a sum. Returns the numeric result.' for add().
• Remove hardcoded password from get_all_data. Use environment variable or secure vault for DB credentials. Never expose secrets in function source.
• Rename get_all_data to something more specific, e.g., fetch_database_records or list_all_users. Include what data is fetched and any limits.
• Document output schemas for all tools. Specify field names, types, and semantics. Example: 'Returns integer result. If result exceeds max_int, returns error.'
• Add input validation with clear error messages. Example: 'Invalid input for add(): a and b must be integers. Got a=5.5, b=3.'
• Extend descriptions to include error conditions and recovery guidance. Example: 'If inputs are out of range, error is returned: Invalid integer range, must be [-2^31, 2^31-1].'
• Consider adding batch variants (add_multiple) if LLMs call add() in loops.
• Add type hints to function signatures matching the schema. Current code has int annotations but no validation.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry