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
42s
Input Tokens
1437
Output Tokens
481
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 this task, I need to analyze several factors:

1. **Number of steps**: Looking at the trajectory, this task involves:
   - Step 1: Get tomorrow's date using the calendar tool (completed)
   - Step 2: Use the flights tool to search for flights from London to Paris
   - Step 3: Present the results to the user
   Total: 3-4 clear, sequential steps

2. **Tool availability**: The task has dedicated, purpose-built tools:
   - Calendar tool (already used successfully)
   - Flights tool (specifically designed for this type of query)
   - Web search tool (available as backup if needed)

3. **Reasoning requirements**: 
   - Minimal reasoning needed - just need to format the date correctly and pass parameters
   - The workflow is straightforward: get date → search flights → present results
   - No complex decision-making or adaptive planning required

4. **Coordination needs**: 
   - Simple sequential coordination between two tools
   - No complex dependencies or multiple data sources to merge

5. **Potential complications**: 
   - Very low - the tools are purpose-built and the requirements are clear
   - Even if the flights tool fails, there's a web search backup option

This task matches the 'Easy' complexity level perfectly because it has a small number of clear steps (3-4), dedicated tools exist for the exact purpose (calendar and flights tools), and minimal reasoning is needed beyond basic parameter passing.

Response: This task is **Easy** complexity.

The task involves finding flight information from London to Paris for tomorrow, which requires only a small number of clear, sequential steps with dedicated tools available. The agent has already completed step 1 (getting tomorrow's date via the calendar tool), and only needs to use the flights tool with the obtained date and then present the results. This matches the Easy complexity criteria: minimal steps, purpose-built tools available, and straightforward execution without complex reasoning or coordination requirements.