The Most Dangerous AI Agent Failure Might Return 200 OK
An AI agent can return 200 OK and still do the wrong thing. Production agents need intent tracking, idempotency, postconditions, and verified outcomes.
AI agents pose a significant risk by performing actions without verifying the correct intent or outcome. In traditional systems, failures trigger alerts and retries, but AI agents may not exhibit these indicators. A 200 OK response from an API does not guarantee the correct action was performed. Failure mode one occurs when the API executes the agent's request accurately, but the wrong transaction is refunded due to incorrect interpretation.
Failure mode two arises when an agent retries a successful action after a timeout, potentially causing repetitive side effects. Failure mode three arises when an agent completes all steps of a workflow, but important policies are violated. Finally, failure mode four arises when an agent is authorized to perform an action but should not execute it under the current circumstances.
To mitigate these risks, an additional layer between reasoning and action should be introduced, evaluating preconditions and postconditions for high-impact actions. This intent and outcome gate would ensure deterministic checks are performed before and after executing tool calls, verifying the user's intent, policy compliance, and desired business outcomes.
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