CPersona defines 29 tools with consistent naming (verb_noun pattern: store, recall, delete, etc.) and complete input schemas. All tools have descriptions and parameters are typed. However, descriptions are terse (avg ~40 chars, well below the 194-char baseline), lack actionable context for LLM selection, and omit error recovery guidance. Output schemas are not documented. No tool annotations (readOnlyHint, destructiveHint) despite clear risk classifications. Parameter descriptions are minimal, many lack format/constraint details. Error handling is absent from tool definitions.

• Expand tool descriptions to 100-200 chars. Include WHAT (action), WHEN (use case), and CONTEXT (prerequisites). Example: 'Store a memory message for an agent. Use this to persist facts, observations, or context the agent should remember. Optionally associate with a channel or project. Returns memory_id for later reference.'
• Document output schemas for all tools. For recall, specify: {memories: [{id: int, content: string, timestamp: string, channel?: string}], total: int}. For list_memories, include pagination fields (offset, limit, total_count).
• Add tool annotations: mark read-only tools with readOnlyHint=true (recall, get_profile, list_memories); mark destructive tools with destructiveHint=true (delete_memory, delete_episode, delete_agent_data); mark idempotent tools with idempotentHint=true (store with same agent_id+message).
• Add constraints to numeric parameters: limit (1-1000), offset (0+), threshold (0.0-1.0). Add enums to format parameter in export_memories (json, csv, jsonl). Add descriptions: 'limit: Maximum results to return (1-1000, default 20)' instead of just 'Maximum number of results'.
• Add error recovery guidance to destructive tools. Example for delete_memory: 'Deletes a memory permanently. Consider calling lock_memory first to prevent accidental deletion. Returns {success: bool, message: string}. On failure, returns error with available memory_ids for the agent.'