Lesson 1352 of 1596
AI and tool result validation
Validate what tools return before letting the agent reason on it — bad data poisons the next step.
Creators · Agentic AI · ~7 min read
The premise
Tool outputs are an attack and bug surface. Validate shape and sanitize content before feeding back into the model.
What AI does well here
- Propose schemas for tool returns.
- Suggest length and content limits.
- Identify fields to sanitize for prompt injection.
What AI cannot do
- Catch every prompt-injection variant.
- Trust unvalidated third-party API output.
- Replace a real security review.
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain validation in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI and tool result validation" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check schema against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
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10 questions · Score saves to your progress.
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