Server has 5 tools with basic schemas and descriptions, but significant gaps limit production readiness. All tools have descriptions (10-150 chars, mostly adequate) and input schemas using Zod validation. However, parameter descriptions are sparse or missing context. Output schemas are not documented, responses are JSON strings without field-level guidance. No error handling guidance, no recovery paths, and no tool annotations. Naming is reasonable (verb_noun pattern) but lacks clarity on mutual exclusivity and dependencies. The server stores data locally in JSON files with no persistence guarantees or transaction safety.

• Document output schemas for all tools. Specify field names, types, and meanings. E.g., atlas_get_profile should return {profile: {id, name, email, ...}, career_facts: [{id, category, content, ...}], ...} with explicit types.
• Add tool annotations: mark atlas_onboard_client, atlas_update_profile, atlas_ingest_resume, atlas_ingest_linkedin with destructiveHint=true (they modify state); mark atlas_get_profile with readOnlyHint=true.
• Enhance parameter descriptions. For 'extracted_facts' in ingest tools, specify: 'Array of objects with required fields: category (enum: education|employment|skill|certification|achievement|other), content (string, 1-500 chars).'
• Add error handling guidance. Return structured errors: {error: 'profile_exists', message: 'Client profile already exists...', recovery: 'Use atlas_update_profile to modify it.'}
• Implement idempotency via content hashing or upsert logic. Store a hash of raw_text + extracted_facts to detect and skip duplicate ingestions.