Server defines 12 tools with complete input schemas and descriptions. Naming follows verb_noun convention (alaska_*). Descriptions are present and contextual (avg ~120 chars), meeting baseline minimums. However, output schemas are entirely undocumented, LLMs cannot predict response structure for chaining. Parameter descriptions are adequate but lack format constraints (e.g., date format, confirmation code format). No error handling guidance, no recovery hints. Schemas are well-formed JSON Schema with types and required fields, but lack examples of response payloads. Security concern: alaska_login exposes credentials as parameters rather than using server-side injection.

• Document output schemas for all 12 tools. Include example responses showing field names, types, and structure. This enables agents to chain tools correctly (e.g., alaska_search_flights returns flight_id → alaska_select_flight accepts flight_id).
• Move credentials out of tool parameters. Implement server-side secret injection: read email/password from environment variables or a secure vault at startup, then remove them from the alaska_login signature. Return a session token instead.
• Add format constraints to schemas: date fields use 'format: date' (YYYY-MM-DD), confirmation_code uses 'minLength: 6, maxLength: 6' or a regex pattern '^[A-Z0-9]{6}$'.
• Add error recovery hints to descriptions. E.g., alaska_login: 'If login fails, verify email and password are correct. If account is locked, visit alaskaair.com/account-security.' alaska_search_flights: 'If no flights found, try adjacent dates or different airports.'
• Implement a confirmation pattern for alaska_cancel_booking: add a 'dry_run' parameter (default false) that returns the cancellation policy and fees without executing, or split into alaska_preview_cancellation + alaska_confirm_cancellation.