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Input

  • output (list): The model-generated list of tool calls.
  • expectedOutput (list): The reference list of expected tool calls (JSON-formatted objects with tool name and arguments).

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Output

  • Result (float): A score between 0 and 1.
  • Reasoning (str): Optional detailed feedback on the matching process.

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Interpretation

  • Higher scores (closer to 1): Most expected tool calls were made correctly with proper parameters and order
  • Lower scores (closer to 0): Few expected tool calls were matched correctly

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Formula

Tool Call Accuracy=Number of correct tool callsTotal expected tool calls\mathrm{Tool\ Call\ Accuracy} = \frac{\text{Number of correct tool calls}}{\text{Total expected tool calls}}

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Use Cases

  • Evaluating agent compliance with required tool sequences
  • Assessing function-calling tasks that require specific arguments
  • Measuring multi-step tool-use workflows end-to-end