Three tools with minimal schema documentation and generic descriptions. All tools lack input parameter descriptions, critical gap per pattern:tool-description. Schemas present but severely underdocumented: search_contacts and get_contact have single string params with no type validation, range, or format guidance. list_favorites has empty input schema. Descriptions are 10-30 chars, below the 50-200 char baseline for LLM-optimized tools. No output schemas documented. No error handling guidance. No parameter constraints (enums, patterns, ranges). Tools are read-only (low risk) but lack the structure needed for reliable agent composition.

• Expand tool descriptions to 80-150 chars. Example: 'search_contacts: Search for contacts by name, phone number, or email. Returns up to 20 matching contacts with ID, name, phone, and email. Use this to find a contact before calling get_contact for full details.'
• Add parameter descriptions. For 'query': 'Search string (1-100 chars). Matches against contact names, phone numbers (digits only), and email addresses. Case-insensitive. Partial matches supported.'
• Document output schemas. Example for search_contacts: '{"contacts": [{"id": string, "name": string, "phone": string, "email": string}], "total": number}'
• Add error handling guidance. Example: 'If no contacts match, returns empty list. If query is empty or malformed, returns error with message: "Query must be 1-100 characters."'
• Add pagination to search_contacts if results can exceed 20. Include limit and offset parameters with documented defaults and max values.

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

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