cutie-mcp
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TDQS
Scored across 16 tools
Most tools have distinct purposes targeting specific resources like conversations, apps, users, or feature requests, with clear separation between get/list operations. However, some potential overlap exists between 'get_dashboard' (analytics overview) and other specific analytics tools like 'get_active_users' or 'get_sentiment_insights', which could cause minor confusion about which to use for detailed metrics.
Tool names follow a highly consistent verb_noun pattern throughout, using clear action verbs like get, list, update, delete, send, and merge paired with specific nouns. All names use snake_case uniformly, making them predictable and easy to parse for an agent.
With 16 tools, the count is slightly on the higher side but reasonable for a customer support/analytics domain that covers conversations, apps, users, dashboards, and feature requests. It provides comprehensive functionality without being overwhelming, though it borders on feeling heavy compared to more focused servers.
The toolset offers excellent coverage for a customer support platform, including full CRUD/lifecycle operations for conversations (list, get, update, delete, send_reply), apps (list, get), feature requests (get, update, merge), and analytics (dashboard, active users, sentiment). No obvious gaps are present, enabling agents to handle end-to-end workflows effectively.