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

23s

Input Tokens

1308

Output Tokens

240

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 a specific user request based on the provided definitions and context. The user's request is: 'I need to find information about available flights from London to Paris for tomorrow'. Based on the context, this request has been partially processed, with the date determined as '2025-05-29' using the calendar tool. The remaining steps involve using the flights tool to get available flights for the specified date and presenting the results. The task requires a small number of clear steps, uses dedicated tools (calendar and flights), and minimal reasoning beyond the tool calls. It does not require combining outputs from multiple tools, adaptive planning, or handling missing data or tool failures. Therefore, the complexity is 'Easy'.

Response: Easy. The task requires a small number of clear steps: determining the date (already done using the calendar tool) and querying the flights tool for available flights. Dedicated tools are available for both steps, and minimal reasoning is needed beyond following the tool's input requirements. No adaptive planning, combination of multiple outputs, or handling of missing data or tool failures is involved.