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.

100
Duration
18s
Input Tokens
1244
Output Tokens
230
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: To determine the complexity of this task, we need to assess the steps required, the reasoning involved, and the tools available. The task at hand involves finding available flights from London to Paris for a specific date using a 'FlightsTool'. The steps involve confirming tomorrow's date using a calendar tool, then inputting the correct parameters into the flights tool to find flights. This sequence of actions implies a straightforward process with distinct steps: confirming date and searching flights. No multiple tool outputs need to be combined or moderate reasoning necessary. The required tools (calendar and flights) are readily available and specialized, making the process more efficient. Thus, the task involves a small number of clear steps and uses dedicated tools with minimal reasoning needed, thereby classifying it as an 'Easy' task according to the provided complexity examples.

Response: The complexity of the task to find available flights from London to Paris for tomorrow is 'Easy'. It involves a small number of clear steps and utilizes dedicated tools (calendar and flights) to complete the task with minimal reasoning required.