21 tools with basic schemas and descriptions, but significant quality gaps. Most tools have 1-5 parameters with type info and brief descriptions (10-50 chars), falling below the 50-200 char baseline for LLM-optimized descriptions. No output schemas documented. Parameter descriptions lack format constraints, ranges, or dependency hints. Error handling is absent, no recovery guidance, retryability classification, or actionable error messages. Security concerns: auth_login exposes credentials as parameters; no audit trail or permission gates visible. Composition issues: get_liveness_result and post_liveness_result are near-duplicates; comprehend_* tools lack batch efficiency guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Average tool description ~35 chars (well below 194-char baseline); average params ~2.5 (below 4-param baseline). Naming is verb-first and mostly clear, but some tools conflate concerns (document_comprehend_pipeline combines OCR + NLP).

• Move auth credentials to server-side environment variables (AUTH_USERS, AUTH_TOKENS). Remove username/password from auth_login parameters. Return only a signed token.
• Document output schemas for all 21 tools. Include required fields (sessionId, confidence, matched_faces, etc.), types, and examples. Enable LLM chaining and field extraction.
• Consolidate get_liveness_result and post_liveness_result into a single tool with clear semantics (e.g., get_liveness_result for retrieval, post_liveness_result for ingestion). Add descriptions explaining when to use each.
• Add enums and constraints to parameters: languageCode ∈ {en, es, fr, ...}, confidence ∈ [0, 100], lat ∈ [-90, 90], lon ∈ [-180, 180]. Expand descriptions to 50-150 chars with format hints.
• Implement error handling: return structured errors with code, message, and recovery hint. E.g., {error: 'invalid_language', message: 'Language code must be ISO 639-1', hint: 'Try: en, es, fr, de, ...'}.