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
3s
Input Tokens
1244
Output Tokens
271
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 the task, we need to analyze the steps involved, the tools required, and the reasoning needed. The task is to find information about available flights from London to Paris for tomorrow. The context provided outlines the past trajectory and the current cycle of actions. The user initially asked about flights from London to Paris for tomorrow. The first step was to determine tomorrow's date using the calendar tool, which returned '2025-05-29'. The current step involves interpreting this result and deciding the next action, which is to use the 'flights' tool to get available flights for the specified date. The remaining goals are to use the 'flights' tool and compile the results for the user. The task involves several steps: determining the date, querying the flights tool, and presenting the results. It requires combining outputs from multiple tools (calendar and flights) and moderate reasoning to ensure the date format matches the tool requirements and to store the flight search result. Based on the examples provided for task complexity, this task fits the 'Easy' category because it involves a small number of clear steps, dedicated tools exist for each step, and minimal reasoning is needed beyond ensuring the date format is correct and using the available tools as intended.

Response: Easy