WWorkbench exposes 9 database tools with partial schema coverage and minimal descriptions. Tool names follow verb_noun convention (ExportConnectionsToFile, ExecuteSQLFile, etc.), which is positive. However, descriptions are in Chinese and extremely brief (10-30 chars), providing minimal context for LLM tool selection. Input schemas are present but lack depth: most parameters have type and description, but no enums, ranges, or validation constraints. Output schemas are entirely undocumented, LLMs cannot predict what these tools return. Error handling is absent from visible code. The server appears to be a Wails desktop app with MCP bindings, not a production-grade agent tool. No evidence of idempotency, pagination, or composition patterns.

• Translate all descriptions to English and expand to 50-200 characters. Example: 'ExportConnectionsToFile' → 'Export database connections to a JSON file. Optionally include secrets. Returns file path and connection count.'
• Document output schemas for every tool. Add a 'Returns' section to each description or a separate schema definition. Example: 'Returns {success: boolean, filePath: string, exportedCount: integer, errors: string[]}'
• Add enum constraints for categorical parameters: charset (utf8, utf8mb4, latin1), collation (utf8_general_ci, utf8mb4_unicode_ci), and database names (alphanumeric + underscore, 1-64 chars).
• Implement confirmation flow for DropDatabase: require a confirmation parameter or add a dry_run mode. Document: 'This operation is irreversible. Pass confirm=true only after user approval.'
• Add error handling guidance to descriptions. Example: 'If database already exists, returns error code ALREADY_EXISTS. If connection fails, returns CONN_TIMEOUT (retryable).' Include actionable recovery steps.