Lesson 1843 of 2116
AI and tool result validation
Validate what tools return before letting the agent reason on it — bad data poisons the next step.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2validation
- 3schema
- 4sanitization
Concept cluster
Terms to connect while reading
Section 1
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
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