This server has critical definition quality gaps. Tool names lack clear action verbs (readUserProfile vs getUser), descriptions are minimal (10-30 chars, well below the 50-200 char LLM-optimized baseline), and parameter schemas are severely incomplete. The 'skill' and 'interest' parameters are typed as generic 'object' with no field documentation, forcing LLMs to guess structure. No output schemas are documented. Error handling returns raw HTTP status codes without recovery guidance. The composite tool 'readUserProfileSkillsAndInterests' violates single-responsibility principle. No tool has descriptions meeting the 50-200 char LLM-optimized range.

• Expand all tool descriptions to 50-200 characters. Include WHAT (action), WHEN (use case), and WHAT IT RETURNS. Example: 'Retrieve the user's profile information including name, email, and contact details. Use this to display or verify user identity before performing profile updates.'
• Replace generic 'object' parameter types with explicit JSON Schema. For 'skill' parameter, document: {type: 'object', properties: {displayName: {type: 'string', description: '...'}, proficiency: {type: 'string', enum: ['elementary', 'intermediate', 'advanced']}, ...}, required: ['displayName']}
• Document output schemas for all tools. Example for readUserProfile: {type: 'object', properties: {id: {type: 'string'}, displayName: {type: 'string'}, mail: {type: 'string'}, ...}}
• Add recovery guidance to error responses. Instead of raw status codes, return: {status: 'error', errorCode: 404, errorMessage: 'User not found', recovery: 'Verify the user ID is correct or use search_users() to find the user by name.'}
• Split readUserProfileSkillsAndInterests into two separate tools (readUserProfileSkills and readUserProfileInterests already exist) and remove the composite tool to reduce LLM confusion.