The server provides 12 tools with generally adequate naming (verb-first pattern observed: remember, recall, promote_to_hot, demote_from_hot, etc.) and descriptions present for all tools. However, there are critical gaps: (1) Most tools lack documented output schemas, the rubric requires 'Document the output schema' as a critical check, and these are entirely missing from the provided source. (2) Parameter descriptions are minimal or absent for many tools. For example, 'remember' has good parameter docs, but 'db_maintenance' has empty input schema with no description of what constitutes 'auto_demote is enabled', is this a config flag? (3) Error handling guidance is absent, no recovery instructions, retryability classification, or actionable error messages evident. (4) The 'consolidate_memories' and 'update_memory' tools accept memory_ids/memory_id but there is no indication how agents discover which memory_ids to target, supporting discovery tools (list_memories, recall) helps, but chaining context is not explicit in responses. (5) Tools like 'recall' and 'list_memories' accept limit parameters but no pagination guidance (offset, cursor) is documented as returning a total_count or next_cursor, baseline requires pagination to return a total or cursor for list operations. Overall, the server is functional and internally coherent, but falls short of production-grade agent tool standards on output documentation, error guidance, and compositional clarity.

• Document output schema for every tool. Include field names, types, and whether responses are paginated. Example: 'Returns object {memory_id: int, content: string, embedding: array, tags: array[string], created_at: ISO8601, used_count: int, rank: float}'.
• For list_memories and recall, explicitly state the return structure includes total_count and list of memory objects with all IDs needed for downstream tool calls (memory_id, project_id if applicable).
• Add error handling guidance to every tool description. Specify: (a) What errors can occur (not found, invalid type, database error), (b) Whether the operation is retryable, (c) What the agent should try next. Example: 'If memory_id not found, use list_memories or recall to find the correct ID. This operation is retryable.'
• For delete_memory, add a dry-run mode or confirmation requirement. Document: 'This is irreversible. Consider adding a confirm_before_delete parameter or calling get_memory to verify before deleting.'
• Enhance parameter descriptions with format expectations and constraints. For 'confidence' in remember, state '0.0-1.0 float, default 1.0 if omitted'. For 'memory_type' enum, explain when to use each type (project=architectural decisions, pattern=reusable snippets, reference=external docs, etc.).
• Make sure recall and list_memories responses include memory_id, project_id, and other linking fields so agents can immediately chain to update_memory or consolidate_memories without extra discovery calls.
• Add an example or clarification for 'auto_demote' in db_maintenance, is this a config option already set, or a parameter to this call? Document the prerequisites.

Inferred effective spec: <=2025-11-25.

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