Definition
What is Silent Error Suppression? — Plain-Language AI Definition
An anti-pattern where tool implementations catch exceptions and return default values instead of surfacing the error to the model.
What is Silent Error Suppression?
Silent error suppression is an anti-pattern where a tool catches an exception and returns a default value (like an empty string or null) instead of reporting the error back to the model. The model has no way to know something went wrong.
Why It Matters
When an agent gets back an empty result, it assumes no data exists -- not that the tool failed. This leads to confidently wrong answers based on missing information.
The Better Pattern
Return explicit error messages when tools fail: "Error: database connection timed out" or "Error: user ID not found."
Key Takeaway
Never hide tool failures from the model. Explicit error messages let agents recover, retry, or escalate.
Learn This in Practice
Move from definition to application with guides and resources that show how this concept appears in real AI workflows.
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