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
17s
Input Tokens
1295
Output Tokens
455
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: 
    1. **Understanding the Task**: The task is to assess the complexity of finding flight information from London to Paris for a specific date (tomorrow, now confirmed as 2025-05-29).
    2. **Steps Involved**:
       - Step 1: Determine tomorrow's date (already completed via the `calendar` tool).
       - Step 2: Use the `flights` tool to query available flights with the confirmed date.
       - Step 3: Compile and present the results to the user.
    3. **Tool Usage**:
       - Dedicated tools exist for both steps (`calendar` and `flights`).
       - No additional reasoning or coordination is required beyond passing the correct parameters (e.g., date format validation).
    4. **Complexity Analysis**:
       - **Number of Steps**: 3 clear steps (1 already done, 2 remaining).
       - **Reasoning Needed**: Minimal (date validation, tool parameter formatting).
       - **Tool Dependencies**: Only 2 tools are used sequentially, with no parallel or fallback requirements.
       - **Adaptability**: No dynamic adjustments or fallback strategies are needed; the task is linear and deterministic.
    5. **Comparison to Examples**:
       - Matches the 'Easy' category: Few steps, dedicated tools, and minimal reasoning (akin to 'find tomorrow's date and query flights').
       - No multi-tool coordination (e.g., no need to combine >4 tools or handle failures).
    

Response: 
    **Complexity Level**: Easy
    **Justification**:
    - The task involves a small number of clear, sequential steps (3 total, with 1 already completed).
    - Dedicated tools (`calendar` and `flights`) are available and directly address each step.
    - Minimal reasoning is required (e.g., confirming date format), and there is no need for adaptive planning or fallback strategies.
    - This aligns with the 'Easy' example provided (e.g., 'find tomorrow's date and query flights').