Pangu exhibits severe definition quality gaps across 46 tools. While all tools have names and descriptions, the descriptions are uniformly minimal (10-30 chars, well below the 50-200 char baseline for A+ tools). 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, no tool declares what it returns. Error handling is absent; tools provide no recovery guidance. The server conflates multiple concerns (e.g., pangu_export_* duplicates functionality; pangu_llm_cache_* mixes cache ops with warmup/vacuum). No tool demonstrates idempotency markers or confirmation patterns for destructive ops. Naming is verb-first (good), but many tools are overly specific variants (pangu_export_json, pangu_export_csv, pangu_export_yaml, pangu_export_markdown, pangu_export_obsidian) that should be unified into a single export tool with a format parameter.

• Document output schemas for all 46 tools. Specify field names, types, and whether results are paginated. E.g., pangu_list_backups should return {backups: [{id, timestamp, description, size}], total_count, next_cursor}.
• Expand descriptions to 50-200 chars. Include WHAT (action), WHEN (use case), and WHEN NOT (related tools). E.g., 'Summarize all memories into a cohesive narrative. Use after collecting memories; call pangu_narrative_themes first to identify key topics.'
• Add error handling with recovery hints. E.g., 'File not found at /path/to/file. Check path exists and is readable. Available import formats: json, csv, yaml, markdown.'
• Consolidate export variants into single export(filepath, format='json') tool with enum format constraint. Reduce from 5 tools to 1, freeing LLM reasoning for actual work.
• Add dry_run parameter to all destructive tools (pangu_import, pangu_restore_backup, pangu_llm_cache_clear). Return preview of changes before applying, enabling agent confirmation.