Opper

Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

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Context

Input

What is the complexity of this task?

Task complexity refers to how challenging a task is for the agent to complete, based on the number of steps required, the need for reasoning or coordination, and the availability of tools.

Examples:
- Easy: A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights).
- Medium: Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning (e.g., summarize document changes across multiple files and generate a review).
- Complex: Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required (e.g., plan a multi-leg trip with hotel, flight, visa checks, and dynamic adjustments).

Please select the appropriate complexity level for this task and explain why.

Expected output

This task is **easy**. It only requires determining tomorrow’s date and querying available flights — both of which have dedicated, reliable tools. There’s minimal reasoning

Model output

Reasoning: Based on the context, the task is to use the already-retrieved date (2025-05-29) and call a dedicated flights tool to fetch London→Paris options, then present them. This requires 2–3 straightforward steps: verify date format, invoke the flights tool, and summarize results. All needed tools are available and aligned with the task; reasoning is minimal and no adaptive planning or complex fallbacks are anticipated.

Response: Complexity: Easy.
Why: The task involves a small number of clear steps with dedicated tools (calendar and flights). The date is already known, the flights tool directly supports the query parameters, and only minimal reasoning is required to verify format and present results. No multi-tool orchestration beyond simple sequencing, and no adaptive planning or fallback strategies are expected.