Server has 6 tools with basic schemas and descriptions, but significant quality gaps. Descriptions are present but often generic or in Chinese (non-English descriptions reduce LLM utility). Parameter descriptions lack actionable constraints (ranges, enums, formats). No output schemas documented. Error handling is minimal, no recovery guidance or categorization. Tool names are verb-prefixed but some are overly generic ('insert_excel_row' vs 'append_excel_row'). Destructive operations (delete_excel_row) lack confirmation patterns. No tool annotations (readOnlyHint/destructiveHint). Schemas show types but lack depth, many parameters missing descriptions or constraints.

• Translate all descriptions to English and rewrite for LLM clarity. Format: 'Reads rows from an Excel file and returns structured data. Use this to extract data; use get_excel_summary for a quick preview. Returns a list of dicts with column names as keys.'
• Add tool annotations: mark read_excel_file, get_excel_summary, search_excel_data with readOnlyHint=true; mark insert_excel_row, delete_excel_row, insert_cell_text with destructiveHint=true.
• Add enum constraints to parameters: match_type should be enum ['exact', 'contains']; insert_position should be enum ['end', 'beginning', 'after_row_N']. Document format for 'after_row_N' (e.g., 'after_row_5').
• Implement confirmation pattern for delete_excel_row: add a 'confirm' boolean parameter (default false) or return a confirmation token that must be passed in a second call.
• Document output schemas for all tools. E.g., read_excel_file returns {rows: [{col1: value, col2: value, ...}], column_names: [str], total_rows: int}.

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

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