Anamnesis provides 7 well-named tools with complete input schemas and descriptions. Tool names follow verb_noun convention (anamnesis_retain, anamnesis_recall, anamnesis_reflect). Descriptions are substantive (100-250 chars) and explain WHEN to use each tool. However, output schemas are not documented, LLMs cannot predict response structure for downstream chaining. Parameters lack type constraints (e.g., content_type enum is present but min_weight lacks range bounds). Error handling is minimal; no recovery guidance or actionable error messages visible in code. Security concern: no evidence of permission gates or audit logging for write operations (retain, remember). Composition is sound, each tool has one responsibility and names are distinct.

• Document output schemas for all tools. For anamnesis_recall, specify: returns array of {id, content, content_type, weight, tags, created_at}. For anamnesis_reflect, specify: returns {directive, reasoning, citations, gaps}. This enables LLMs to chain tools and extract fields correctly.
• Add explicit bounds to numeric parameters. Change min_weight to include 'minimum: 0, maximum: 10' in schema. Add limit bounds: 'minimum: 1, maximum: 100' for anamnesis_recall. Prevents LLMs from passing absurd values.
• Implement error recovery guidance. When a bank is not found, return: 'Bank "my_project" not found. Available banks: [list]. Call anamnesis_list_banks() to discover all banks.' This guides the agent to self-correct.
• Add permission gates and audit logging. Before anamnesis_retain executes, verify caller has write:memory scope. Log: {timestamp, caller_id, tool, bank, content_hash, action}. Enables compliance and incident response.
• Expand anamnesis_search_entities description to 100+ chars. Explain: 'Search the entity relationship graph (people, concepts, systems) within a memory bank. Use when you need to find related entities or explore connections. Returns entity names, relationships, and relevance scores.' Disambiguates from anamnesis_recall.