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
16s
Input Tokens
1241
Output Tokens
343
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: First, I read the task: to determine the complexity of the given task based on the provided definitions. The task in question is finding available flights from London to Paris for tomorrow, as described in the context. The context shows a trajectory where the agent has already used the calendar tool to get tomorrow's date (2025-05-29), and the next steps are to use the flights tool and then compile and present the results. Progress is noted as Step 2 of 4, with remaining goals being straightforward.

Comparing to the examples:
- Easy: Small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights). This matches exactly.
- It's not Medium, as it doesn't require combining many outputs from multiple tools (more than 4) or moderate reasoning – here, only two main tools are involved (calendar and flights), and steps are clear.
- Not Complex, as there are no many steps, adaptive planning, missing data, or need for fallbacks mentioned.

The process involves minimal steps: get date, query flights, present. Tools are available and directly applicable. No complex coordination or reasoning required.

Response: Easy

Explanation: This task involves a small number of clear steps – determining tomorrow's date using the calendar tool and then querying the flights tool with the obtained date. Dedicated tools are available for both actions, and minimal reasoning is needed beyond interpreting the tool results and presenting them. It aligns directly with the 'Easy' example provided, without the need for combining multiple tool outputs extensively or handling uncertainties.