Three tools with clear verb-noun naming (GetUserProfile, GetProducts, GetSalesAnalytics) and basic descriptions. All tools have input schemas with type definitions and parameter descriptions. However, descriptions are minimal (34 - 72 chars, below the 50 - 200 char baseline for LLM optimization), parameter constraints lack enums and ranges, output schemas are not documented, and no error handling guidance is provided. Tools are read-only but lack explicit idempotent annotations. No pagination support despite GetProducts accepting a count parameter.

• Expand tool descriptions to 100 - 150 chars. Example: 'GetUserProfile: Retrieves a user's profile including contact info, preferences, and account metadata. Use this to fetch user details before personalizing responses or checking permissions. Returns UserProfile with Id, FirstName, LastName, Email, Age, Address, Preferences, CreatedAt, LastLoginAt.'
• Document output schemas in tool descriptions or as a separate schema field. Example: 'Returns UserProfile { Id: string, FirstName: string, LastName: string, Email: string, Age: int, Address: { Street, City, State, ZipCode, Country }, Preferences: { Theme, Language, Notifications, EmailUpdates }, CreatedAt: ISO8601, LastLoginAt: ISO8601 }'
• Add enum constraint to GetSalesAnalytics 'period' parameter: enum=['daily', 'weekly', 'monthly', 'quarterly', 'yearly']. Update description to list valid values.
• Add numeric constraints to GetProducts 'count' parameter: minimum=1, maximum=10. Update description to state 'The number of products to retrieve (1 - 10, default: 5).'
• Implement error handling for invalid inputs. Example: if userId is empty, return { error: 'Invalid userId: must be non-empty string', suggestion: 'Call search_users() first if you only have a name.' }. If count > 10, return { error: 'Invalid count: 11 exceeds maximum of 10', suggestion: 'Use pagination or reduce count to ≤10.' }

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

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