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.

Duration

Input Tokens

1498

Output Tokens

183

Cost

$0.00

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: The task is to assess the complexity of the given flight search scenario based on the provided criteria. The scenario involves finding flights from London to Paris for tomorrow: it requires determining tomorrow's date using the calendar tool (one step), then querying the flights tool with the date (second step), and finally compiling and presenting the results (third step). This totals a small number of clear steps (3-4), with dedicated tools available for each part (calendar and flights), and minimal reasoning needed—no adaptive planning, multiple tool combinations beyond 2, or fallback strategies for missing data. It matches the 'Easy' example of finding tomorrow's date and querying flights.

Response: Easy

Explanation: This task requires a small number of clear steps with dedicated tools available and minimal reasoning, directly aligning with the 'Easy' example provided.