How can you measure the efficiency of tool calls?

• A. By recording only success/failure counts
• B. By tracking the number of calls, average latency, and total cost per task.
• C. By counting the number of tools in the registry
• D. By measuring network bandwidth used by the agent

Answer: (B)

Measuring the efficiency of tool calls comes down to tracking how fast and how much work is done for each task. You want to know three things: how many calls are made (throughput), how long each call takes on average (latency), and how much resource or money is spent to complete the task (cost).

Tracking the number of calls shows how busy the system is and helps you see if the volume of tool usage aligns with faster completion. The average latency tells you how responsive the tools are; if latency is high, even many calls may not help overall speed. The total cost per task brings in the resource and financial side, so you can judge efficiency not just by speed but also by how expensive the process is to achieve that speed.

If you only record success or failure, you miss how long things take and how costly they are, which are essential for assessing performance. Counting tools in a registry doesn’t reflect runtime behavior, and measuring network bandwidth alone may overlook time and cost impacts of tool usage.