Five well-named, read-only tools with complete input schemas and clear descriptions. Tool names follow verb_noun pattern (search_tables, get_data). All parameters have type definitions and descriptions. Descriptions average ~150 chars, within the 10 - 1024 baseline. However, output schemas are not documented, LLMs cannot predict response structure for downstream chaining. Error handling is minimal (generic HTTP errors). No pagination guidance for potentially large result sets (search_tables, dimension_values). Missing tool annotations (readOnlyHint) despite all tools being read-only.

• Document output schemas for all tools. E.g., search_tables returns {value: [{Identifier: string, Title: string, Period: string, Language: string, ...}]}. Include field types and nesting so LLMs can plan downstream calls.
• Add pagination metadata to search_tables and dimension_values. Return {value: [...], odata.count: number} or {value: [...], nextLink: string} so LLMs know whether to paginate and how.
• Enhance error messages with recovery guidance. E.g., 'Table "37296eng" not found (404). Try search_tables(keyword="population") to find valid table IDs.' or 'Invalid dimension "Periods" (400). Call table_dimensions(table="37296eng") to list valid dimensions.'
• Add readOnlyHint: true to all tool schemas. This signals to clients that these tools are safe to call in parallel, cache results, and retry without side effects.
• Document the discovery workflow in tool descriptions. E.g., table_dimensions should say 'Call this after search_tables() to learn which $select keys and $filter dimensions are valid for a table.' This guides multi-step planning.