CCARF Practice Question

Paper 5 · Question 37

D1 Agentic Architecture & Orchestration · Paper 5

[Scenario: Customer Support Agent] Production metrics show your agent averages 4+ API loops per resolution. Analysis reveals Claude often requests `get_customer` and `lookup_order` in separate sequential turns even when both are needed initially. What is the most effective way to reduce the number of loops? What is the most effective way to reduce loops?

• A.Implement speculative execution that automatically calls likely-needed tools in parallel with any requested tool and returns all results regardless of what was requested.
• B.Increase `max_tokens` to give Claude more room to plan and naturally combine tool requests.
• C.Create composite tools like `get_customer_with_orders` that bundle common lookup combinations into single calls.
• D.Instruct Claude in the prompt to bundle tool requests into one turn and return all results together before the next API call.

Show answer & explanations

Correct answer: D

A: Calling tools the model did not ask for spends extra work and can return data it ignores. It does not stop the sequential loop.

B: max_tokens sets output length. It does not make the model emit both tool calls in one turn.

C: A composite tool hides two lookups the model can already request together, and it is a larger change than saying so.

D: Prompting Claude to bundle related tool requests into a single turn leverages its native ability to request multiple tools at once. It directly fixes the sequential-call pattern with minimal architectural change.

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