An enterprise AI assistant repeatedly calls a database-deletion tool when users only request data re

Q: What is the correct answer for Claude CCA-F Claude CCA-F?

The correct answer is B. The most likely cause for an AI assistant to erroneously invoke a destructive tool like database deletion instead of a retrieval tool is ambiguous tool descriptions. Poorly differentiated descriptions can lead Claude to misinterpret user intent and select an inappropriate tool, especially when a retrieval tool's description overlaps with aspects of a deletion tool's capabilities in a way that conf

Q: An enterprise AI assistant repeatedly calls a database-deletion tool when users only request data retrieval. Which issue is MOST likely causing this?

The correct answer is B. The most likely cause for an AI assistant to erroneously invoke a destructive tool like database deletion instead of a retrieval tool is ambiguous tool descriptions. Poorly differentiated descriptions can lead Claude to misinterpret user intent and select an inappropriate tool, especially when a retrieval tool's description overlaps with aspects of a deletion tool's capabilities in a way that conf

Q: What are the options for this Claude CCA-F Claude CCA-F question?

A. Long context windows · B. Ambiguous tool descriptions · C. Low token limits · D. Excessive embeddings

Question

An enterprise AI assistant repeatedly calls a database-deletion tool when users only request data retrieval.
Which issue is MOST likely causing this?

FirstInTest · Accepted Answer

The most likely cause for an AI assistant to erroneously invoke a destructive tool like database deletion instead of a retrieval tool is ambiguous tool descriptions. Poorly differentiated descriptions can lead Claude to misinterpret user intent and select an inappropriate tool, especially when a retrieval tool's description overlaps with aspects of a deletion tool's capabilities in a way that confuses the model. Long context windows (A) or low token limits (C) relate to memory and prompt size but don't directly cause tool misselection based on semantic understanding. Excessive embeddings (D) might impact performance but wouldn't typically cause this specific type of functional error without underlying ambiguity in tool definitions.

Answer

Long context windows

Answer

Ambiguous tool descriptions

Answer

Low token limits

Answer

Excessive embeddings

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