Mistake in the Lab 3

Short Course Q&A Evaluating AI Agents
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1

In Lab 3 of Evaluating AI Agents course:

query = SpanQuery().where(
    # Filter for the `LLM` span kind.
    # The filter condition is a string of valid Python boolean expression.
    "span_kind == 'LLM'",
).select(
    question="input.value",
    tool_call="llm.tools"
)

# The Phoenix Client can take this query and return the dataframe.
tool_calls_df = px.Client().query_spans(query, 
                                        project_name=PROJECT_NAME, 
                                        timeout=None)
tool_calls_df = tool_calls_df.dropna(subset=["tool_call"])

tool_calls_df.head()

I think tool_call="llm.tools" is incorrect, this only retrieves all the available tools given to the LLM, but not the chosen tool returned by the LLM.

Can you have a check?