Question

A support team deploys an agent that can call several tools (knowledge base search, ticket lookup, refund API) to resolve customer issues autonomously. During testing, a few conversations spiral: the agent repeatedly calls tools, racks up high token costs, and occasionally never returns a final answer. The team wants to keep the agent capable but reliable and bounded. Which change most directly addresses this problem?

Accepted Answer

Set a maximum number of tool-use iterations per conversation and stop with a fallback response once the limit is reached

Answer

Raise the temperature so the agent explores more solution paths and finishes faster

Answer

Replace the agent with parallel tool calls that fire all tools simultaneously on every turn

Answer

Remove the tool descriptions so the model spends fewer tokens deciding which tool to use