Agent Tool Design & Architecture

About

This skill provides professional-grade guidance for designing and implementing agent-tool interfaces, moving beyond basic prompt engineering to create robust, reliable interactions. It focuses on the 'Consolidation Principle' to reduce agent confusion, architectural reduction to favor primitive capabilities, and standardized Model Context Protocol (MCP) naming conventions. By applying these principles, developers can minimize tool-related failures, optimize context window usage, and build scalable agentic systems that handle complex workflows with human-like reasoning and precision.

Key Features

• Architectural Reduction Patterns
• Standardized MCP Tool Naming Conventions
• Agent-driven Tool Optimization Feedback Loops
• Tool Consolidation & Ambiguity Reduction
• Actionable Error Message Design for AI Recovery
• 124 GitHub stars

Use Cases

• Designing a new set of MCP tools for a custom backend service
• Debugging why an agent is choosing the wrong tool or failing to call an API correctly
• Refactoring a complex multi-tool architecture into a more efficient system using primitives