HippoGraph presents a specialized neurosymbolic memory system with 12 tools covering search, CRUD, and graph maintenance operations. Strengths: most tools have clear, descriptive names starting with action verbs (search_, add_, update_, delete_, get_); input schemas are visible and include type definitions; descriptions exist for all tools and most parameters. Weaknesses: descriptions vary significantly in informativeness (some are excellent, others are formulaic); several tools lack error handling guidance; output schemas are not documented in the source; parameter descriptions sometimes lack constraint clarity (e.g., search_memory's `limit` lacks explanation of why 20 is the max); emotional tone parameters in add_note are domain-specific but lack validation guidance; no confirmation/dry-run pattern for destructive operations (delete_note). Schema completeness is good (types, enums, defaults present) but output structure is not documented, forcing LLMs to infer result shapes.

• Document output schemas for all tools. Define the exact JSON structure returned: field names, types, ranges. E.g. for search_memory: { results: [{ id: integer, content: string, category: string, importance: string, score: float }], total: integer }
• Add confirmation/dry-run step to delete_note. Either require a force=true flag or introduce delete_note_preview to show what will be deleted before permanent removal.
• Enhance error messages with recovery hints. E.g., if update_note fails with 'note not found', return: 'Note ID 42 not found. Search for recent notes with search_memory(query="...") to verify the ID.'
• Constrain emotional_tone to a predefined enum or provide validation pattern. E.g. emotional_tone enum: ['joy', 'trust', 'fear', 'surprise', 'sadness', 'disgust', 'anger', 'anticipation'] OR specify regex: '^[a-z_]+(?:,\s*[a-z_]+)*$'
• Clarify parameter relationships in search_memory. Explain when to use 'limit' vs 'max_results' (or remove the redundancy). Document valid category values and entity_type enum.
• Consolidate search tools. Either unify search_memory and find_similar under one tool with a 'method' parameter (activation|similarity), or document clearly when to use each in tool descriptions.
• Add pagination guidance to tools returning lists (search_memory, get_note_history). Specify: does the tool return all results at once or paginated? If paginated, include offset/cursor in output so agents can fetch subsequent pages.
• Document the idempotent/non-idempotent nature of each tool. E.g., add_note checks for duplicates (effect depends on force flag), make this explicit so agents know safe retry behavior.