Avoiding Outdated Agent Assumptions

Remote MCP Tools in Production APIs

OpenAI Responses API and Agents SDK

A2A vs MCP: Two Different Layers

A2A: Agents Talking to Agents

MCP Governance Under AAIF

MCP Authorization and CIMD

MCP Feature Lifecycle and Extensions

MCP's Stateless Core Design

MCP: Standardizing Model-to-Tool Access

Appending Observations to History

Evaluating and Debugging Agent Behavior

Real-World Agent Use Cases

Cost, Latency, Reliability Trade-offs

Agent Safety and Permission Scoping

Human-in-the-Loop and Approval Gates

Agent Loop Termination Conditions

Handling Tool Errors and Retries

Multi-Agent Systems and Collaboration

Common Agent Tool Types

Agent Memory: Short-Term vs Long-Term

Planning and Task Decomposition by Agents

Chain-of-Thought Reasoning in Agents

ReAct: Reasoning Meets Acting

Parsing and Executing Tool Calls

How LLMs Choose a Tool

Tool Schemas and Descriptions

Tools and Function Calling Fundamentals

The Agent Loop Explained

Agents vs Plain LLM Prompting

AI Agents: The Sense-Think-Act Loop

Human-in-the-Loop Approval

Code Execution and Sandboxing

Multi-Agent Systems and Collaboration

Short-Term vs Long-Term Memory

What Defines an AI Agent

Parsing and Validating Tool Outputs

Cost and Latency of Agentic Loops

Perception-Reasoning-Action Loop

Multi-Step Reasoning and Iterative Loops

Web Browsing and External API Access

Real-World Agent Applications

Safety Risks of Autonomous Agents

Agent vs Plain LLM Call

Stopping Conditions and Loop Termination

Error Handling and Recovery

Prompt Injection Threats via Tools

Evaluating Agent Performance

Planning and Task Decomposition

Autonomy Levels in Agents

Tool Use Concept and Motivation

Tool Schema and Argument Definition

Retrieval as a Tool

Loop Detection Guard

Aggregating Tool Results

Unknown Tool Name Handling

Routing to the Correct Tool

Parsing Action vs Final Answer

Coercing Tool Arguments to Numbers

Passing Prior Step Output Forward

Sequential Task Decomposition

Dangerous Tool Argument Guardrails

Dispatch Tool By Name

Step Limit Guard

Agent Loop Order

Detecting Final Answer

Scratchpad State Scope

Validating Required Args

Parsing Tool Arguments

Catching Tool Errors

Cost and Latency of Agentic Workflows

Code Execution / Code Interpreter Agents

Evaluating Agent Performance

Real-World Applications of AI Agents

Types of Tools

Reflection and Self-Correction

Stopping Criteria and Loop Termination

Tool Schema and Function Definitions

Tool Selection and Routing

Agent Orchestration Frameworks

Agent Memory: Short-term vs Long-term

Planning and Task Decomposition

Multi-Agent Systems and Collaboration

Agent vs Standalone LLM Call

Parsing and Validating Tool Outputs

Agent Failure Modes and Error Recovery