The server defines 3 tools with verb-noun naming and basic descriptions. However, critical gaps exist: (1) Parameter descriptions are minimal or missing context. The 'table' parameter in get_columns lacks any hint about how to discover available tables. (2) Output schemas are entirely undocumented, tools return CSV format per description, but no schema defines the structure of returned fields. (3) Error handling is weak: exceptions are wrapped in generic RuntimeException with minimal recovery guidance. (4) The 'run_query' tool lacks essential constraints: no SQL dialect validation, no query complexity limits, and no guidance on which clauses are safe. (5) No input validation beyond basic type checking. Parameters like 'sql' accept free-form strings with no sanitization against SQL injection or malicious queries. (6) Descriptions lack discovery hints, users don't know when to call get_tables vs get_columns, or how query output relates to column metadata.

• Document the output schema for each tool. For get_tables and get_columns, specify the CSV columns (e.g. TABLE_CAT, TABLE_SCHEM, TABLE_NAME, COLUMN_NAME, TYPE_NAME, REMARKS) and their types/meanings. For run_query, document the result structure (column names from SELECT list, data types inferred from query, row format).
• Add input validation and security guards to run_query: (1) Whitelist allowed SQL clauses (FROM, INNER JOIN, LEFT JOIN, GROUP BY, ORDER BY, LIMIT/OFFSET only); reject DELETE, DROP, INSERT, UPDATE, CREATE. (2) Limit result size (e.g. max 1000 rows) and document the limit in the description. (3) Set query timeout (e.g. 30s) and return a clear timeout error. (4) Validate SQL syntax before execution.
• Enrich parameter descriptions with discovery hints and prerequisites. E.g. for 'table' param: 'The table name (case-sensitive or case-insensitive depending on your dialect; call {prefix}_get_tables to discover available tables; quote identifiers using backticks or double quotes per your dialect).'
• Implement structured error responses: (1) Categorize errors as retryable (network timeout, transient DB error) vs user-fixable (table not found, invalid column). (2) When a resource is not found, list available alternatives (e.g. 'Table "users" not found. Available tables: user, users_archive, user_profile'). (3) Return error as JSON with error code, message, and recovery suggestion instead of wrapping in generic RuntimeException.
• Add pagination support to get_tables and get_columns. Accept optional 'limit' (default 20, max 100) and 'offset' (default 0) parameters. Return total count in response so LLM knows if more results exist.