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

498

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: Looking at this task, I need to classify the complexity of finding flights from London to Paris for tomorrow. Analyzing the context: 1) The user request is straightforward - find available flights for a specific route and date. 2) The trajectory shows this is a simple linear workflow: get tomorrow's date (already completed) → search flights → present results. 3) Dedicated tools exist for this exact purpose (calendar tool for date, flights tool for searching). 4) The task requires minimal reasoning - just proper tool invocation with correct parameters. 5) Based on the progress indicator, this is step 2 of 4, indicating a small number of clear steps. This matches the 'Easy' complexity definition: 'A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights).'

Response: EASY

Reason: This task has a small number of clear steps (get date, search flights, present results), dedicated tools exist (calendar and flights tools are available), and minimal reasoning is needed - just proper tool invocation with correct parameters. It follows a straightforward linear workflow without complex coordination, multiple tool combinations, or need for fallback strategies.