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

249

Cost

$0.01

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: 1) Identify what the described underlying user request is: find available flights from London to Paris for tomorrow. 2) Count required steps and tools: (a) determine tomorrow’s date (calendar tool) and (b) query flights for that date (flights tool), then (c) summarize results. 3) Evaluate reasoning/coordination needs: minimal reasoning (format/date handoff), no multi-tool aggregation beyond two tools, no adaptive replanning or complex constraints described. 4) Map to the provided rubric: this matches an Easy task because it’s a small number of clear steps with dedicated tools and minimal reasoning.

Response: Complexity level: **Easy**.

Why:
- The workflow is short and well-defined: get tomorrow’s date (calendar) → query the flights tool with (London, Paris, YYYY-MM-DD) → present results.
- Only **two dedicated tools** are needed (calendar + flights), with straightforward parameter passing.
- Requires **minimal reasoning** (mainly confirming the date format and using it in the flight query), with no need for adaptive planning, fallbacks, or coordinating many tool outputs.