Part 2: Tools and Extensions

Name: AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems
Author: Wayland Zhang

Giving Agents real execution capability: Tool Calling, MCP Protocol, Skills System

Chapter List

Chapter	Title	Core Question
03	Tool Calling Fundamentals	How do you make LLMs call external functions?
04	MCP Protocol Deep Dive	How do you standardize Agent-to-external-system connections?
05	Skills System	How do you build reusable Agent capabilities?
06	Hooks and Events	How do you extend Agent lifecycle and package for distribution?

Learning Objectives

After completing this Part, you will be able to:

Implement Function Calling tool definitions
Understand MCP (Model Context Protocol) architecture
Design reusable Skills systems
Use Hooks to extend Agent behavior

Shannon Code Guide

Shannon/
├── python/llm-service/tools/           # Tool implementations
├── python/llm-service/roles/presets.py # Skills presets
└── docs/pattern-usage-guide.md         # Pattern guide

Hot Topic Connections

MCP: Standard protocol for Claude Code, Cursor, and other tools
Hooks: Event-driven extension mechanism for Claude Code
Plugins: Capability packaging and community sharing

Prerequisites

Part 1 completed
JSON Schema basics
HTTP/gRPC basics

@incollection{zhang2026aiagent_en_part2_overview, author = {Zhang, Wayland}, title = {Part 2: Tools and Extensions}, booktitle = {AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems}, year = {2026}, url = {https://waylandz.com/ai-agent-book-en/part2-overview} }