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
19s
Input Tokens
1244
Output Tokens
217
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 user's task is to find available flights from London to Paris for tomorrow. The agent has already identified tomorrow's date by using the calendar tool. The remaining steps are to use the 'flights' tool (with the gathered date and city information) and then compile and present the results. There are dedicated tools available for each step (calendar and flights), and the steps are clear and sequential: 1) get tomorrow's date, 2) query available flights with that information, 3) present results. The amount of reasoning required is minimal, primarily ensuring the correct information is passed between steps and checking that the tools return valid results. There are no missing data, fallback strategies, or complex planning involved—only a simple linear workflow.

Response: This task is 'Easy' in terms of complexity. It involves a small number of clear steps, makes use of dedicated tools (calendar and flights), and requires only minimal reasoning to connect the outputs between the tools and present the final answer.