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

1313

Output Tokens

591

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: Analyzing the task based on the provided context: The user wants to find flights from London to Paris for tomorrow. The trajectory shows this is a straightforward sequential task: 1) Get tomorrow's date (already completed via calendar tool), 2) Query flights using the obtained date (2025-05-29), and 3) Present results to the user. This involves only 2-3 clear steps, uses dedicated existing tools (calendar and flights), and requires minimal reasoning—simply passing the date output from the calendar tool as input to the flights tool. There is no need for complex coordination, combining outputs from many tools, adaptive planning, or fallback strategies. This matches the 'Easy' complexity definition perfectly.

Response: Easy. This task involves a small number of clear steps (get date, query flights, present results), has dedicated tools available for each sub-task (calendar and flights tools), and requires minimal reasoning—only simple sequential execution with straightforward parameter passing between tools.