Lesson 1
Why tools matter
LLMs become more useful when they can access explicit capabilities instead of guessing or relying entirely on prompt context.
Understand Model Context Protocol concepts, tool boundaries, schemas, permissions and testing considerations.
Learning outcomes
Guided lessons
Lesson 1
LLMs become more useful when they can access explicit capabilities instead of guessing or relying entirely on prompt context.
Lesson 2
Inputs and outputs should be strongly typed, bounded and understandable so agents cannot improvise unsafe parameters.
Lesson 3
Expose only the capabilities necessary for a workflow and distinguish read actions from high-impact writes.
Lesson 4
Sensitive actions may require confirmation even when the agent selected the correct tool.
Lesson 5
Validate schema errors, authorization, duplicate execution, unsafe arguments and audit evidence.
Hands-on practice
Do not just tick these mentally. Write the query, create the test matrix, refactor the code, or document the decision. Practical evidence is the point.