Solid foundation with complete schemas and descriptions for all 12 tools. Tool naming follows verb_noun convention (store_, get_, delete_, search_, recall_, update_, create_, get_relationships). All tools have descriptions (avg ~80 chars, within baseline 34-392). Input schemas are fully defined with types and parameter descriptions. However, output schemas are not documented, responses are structured but LLMs cannot see the expected return fields. Error handling uses structured responses (ok/error format) but lacks recovery guidance. No pagination support on list-like tools (search_memories, recall_memories). Batch tools (store_memories, delete_memories) are well-designed but lack per-item error reporting. Tool descriptions are functional but brief, they state WHAT but not WHEN or WHY to use each tool.

• Document output schemas for all tools. For search_memories, specify: {results: [{hash, content, tags, importance, memory_type, created_at}], total_count, limit}. For memory_stats: {total_memories, total_tags, avg_importance, memory_types_count}.
• Add pagination to search_memories and recall_memories: accept offset/limit or cursor, return total_count and next_cursor. Cap results at 50 items per call to prevent context window exhaustion.
• Enhance error messages with recovery guidance. E.g., 'Memory hash not found (E_NOT_FOUND). Try search_memories() to find the correct hash.' Categorize errors as retryable (E_TIMEOUT, E_RATE_LIMIT) vs user-fixable (E_INVALID_HASH).
• Add per-item results to store_memories and delete_memories responses: {results: [{hash, ok, error?}], partial_success: bool}. This lets LLMs identify which items failed and retry selectively.
• Implement dry-run mode for delete_memory and delete_memories: add optional 'dry_run: true' parameter. Return what would be deleted without actually deleting. For irreversible ops, require explicit confirmation via a separate confirm_delete tool.

Inferred effective spec: 2025-06-18+.

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