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: The given task is to categorize its own complexity based on the number of steps involved, reasoning needed, and tool use. From the context and the instructions, the agent needs to find tomorrow's date (already done, with calendar tool output), then use the flights tool to find available flights and present the result. The task breaks down into a small number of clear steps (date retrieval, flight search, result compiling). The tools required are dedicated and available, with no indication of failure or need for fallback. The reasoning is minimal and straightforward as the steps and tools are well-defined. Hence, this task involves few steps and minimal complex coordination or adaptive planning. According to the complexity definitions: Easy tasks have few steps, dedicated tools, and minimal reasoning, which matches this scenario. Therefore, this task is easy in complexity.

Response: The complexity of this task is Easy. It involves a small number of clear steps (retrieving the date and querying flights), uses dedicated and available tools, requires minimal reasoning, and has straightforward execution without adaptive planning or fallback strategies.