Paper 2 · Question 1

A: A single agent with all tools violates scoped tool access and would struggle with attention dilution across the multiple dimensions of this comparison (environmental impact, cost-effectiveness, two vehicle types, commercial fleet context).

B: The query has two distinct analytical dimensions (environmental impact and cost-effectiveness) applied to the same subjects. Multi-concern decomposition splits these into parallel tracks, each with its own subagent. Both tracks investigate both vehicle types, ensuring consistent comparison methodology. A synthesis step produces the unified comparison.

C: Splitting by vehicle type risks inconsistent comparison methodology. One agent might emphasise different environmental metrics than the other, making the comparison unreliable. Splitting by analytical dimension (environmental impact, cost-effectiveness) ensures each dimension uses consistent methodology across both vehicle types.

D: The query's structure is clear and predictable — two analytical dimensions (environmental, cost), two vehicle types, one context (commercial fleets). Dynamic adaptive decomposition is for open-ended investigations where the next steps are unknown. Here, multi-concern decomposition is more efficient.