This server provides 8 tools for querying and exploring Databricks metadata. Strengths: all tools have descriptions and clear naming following verb-noun conventions (execute_, list_, describe_). All inputs have type definitions. Weaknesses: descriptions lack guidance on WHEN to use each tool vs others, parameters lack detailed constraints or format specifications, no output schemas are documented, error handling is minimal (generic try-catch blocks returning plain strings), and tools are read-only with no confirmation patterns despite catalog operations. Parameter descriptions are sparse, most are single-line (e.g., 'The catalog name to list schemas from'). Output is unstructured text, making downstream chaining impossible. No pagination support despite potential for large result sets. The include_lineage parameter on describe_uc_table has meaningful guidance, but this is an exception.

• Return structured JSON objects from all tools, not f-string text. Example: instead of 'Columns: col1, col2', return {columns: [{name: 'col1', type: 'string'}, ...], row_count: 42, truncated: false}. Document the schema in each tool's description.
• Add pagination to list_schemas_in_databricks, list_tables_in_databricks, and list_uc_catalogs. Accept optional limit (default 20, max 100) and cursor/offset parameters. Return total_count and next_cursor so agents can fetch large result sets in batches.
• Expand parameter descriptions with format and constraint details. Example: 'catalog_name: The catalog name (alphanumeric and underscores, 1-64 chars, case-insensitive). E.g., prod_catalog.'
• Add WHEN-to-use guidance in tool descriptions. Example for describe_uc_catalog: 'Use this after list_uc_catalogs to explore schemas within a specific catalog. Returns schema names but not table details, call describe_uc_schema next for tables.'
• Replace generic error handling with actionable messages. Instead of 'Error listing schemas: {e!s}', return 'Catalog not found: {catalog}. Available catalogs: [list]. Tip: call list_uc_catalogs() first if unsure of catalog names.'
• Add per-parameter validation and return structured error responses. If table_name is not in 'catalog.schema.table' format, return {error: 'InvalidFormat', detail: 'Expected catalog.schema.table, got: {input}', hint: 'Call describe_uc_schema(...) to find valid table names.'}
• Document output schemas inline in docstrings. Example: 'Returns: {columns: list[{name: str, type: str, nullable: bool}], rows: list[dict], row_count: int, truncated: bool}'