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

1306

Output Tokens

189

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 described task is to find available flights from London to Paris for tomorrow, with strong structure and clear tool support. The trajectory already shows that one prerequisite step (getting tomorrow’s date) has been completed via the calendar tool, leaving a straightforward flights query and then presenting results. This involves a small number of clear steps, minimal uncertainty, no complex coordination across many tools, and no need for adaptive fallback planning under normal conditions.

Response: Easy

This task is **Easy** because it requires only a few clear, linear steps with dedicated tools available:
1. Determine tomorrow’s date (already done: `2025-05-29`).
2. Query the flights tool with from/to/date.
3. Present the returned options to the user.

Reasoning demand is low, tool selection is obvious, and there is no multi-branch planning or complex dependency management.