About
This skill provides expert guidance for building robust tool ecosystems for AI agents, focusing on the unique requirements of LLM-native APIs. It emphasizes the consolidation principle to reduce ambiguity, architectural reduction to leverage model reasoning, and Model Context Protocol (MCP) best practices. By implementing these patterns, developers can debug tool failures, standardize naming conventions, and design high-performance toolsets that minimize context bloat while maximizing agent reliability in production environments.