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
8s
Input Tokens
1475
Output Tokens
1030
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 is asking me to evaluate the complexity of the task: 'I need to find information about available flights from London to Paris for tomorrow.'

1.  **Analyze Task Steps and Tools:** The task requires two main operational steps:
    a.  Determine 'tomorrow's date' using the dedicated `calendar` tool.
    b.  Use the resulting date along with the specified cities (London, Paris) to query the dedicated `flights` tool.
    c.  Present the final result.
2.  **Evaluate Reasoning and Coordination:** The process is linear, sequential, and requires minimal reasoning—it is a direct data transfer from the output of one tool to the input of the next.
3.  **Compare with Definitions:** The task aligns perfectly with the definition and example provided for 'Easy': 'A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights).' It uses only two tools and has a very clear execution path.

Therefore, the complexity level is Easy.

Response: Complexity Level: Easy

**Explanation:**
This task is classified as Easy because it involves a small number of clear, sequential steps and utilizes dedicated tools. The required steps are:
1.  Call the `calendar` tool to determine tomorrow's date (already completed in the trajectory).
2.  Call the dedicated `flights` tool using the determined date and specified cities (London to Paris).

This process requires minimal reasoning or coordination beyond sequencing two tool calls. The example provided for the 'Easy' category explicitly lists 'find tomorrow's date and query flights,' which perfectly describes the task in the context.