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
4s
Input Tokens
1249
Output Tokens
325
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. **Identify the core task**: The trajectory shows the user asked for flights from London to Paris for tomorrow.
2. **Steps already completed**: 
   - Determined tomorrow's date via the calendar tool (step 1).
   - The current cycle (cycle 3) indicates the next action is to use the flights tool (step 2).
3. **Remaining steps**:
   - Call the flights tool with the date 2025-05-29 (step 3).
   - Present the results to the user (step 4).
4. **Complexity evaluation**:
   - **Steps**: Only 4 total steps (get date, query flights, present results).
   - **Tools**: Uses 2 simple tools (calendar and flights), both readily available and single-purpose.
   - **Reasoning**: Minimal – no need for fallback strategies or adaptive planning; the path is linear and predictable.
   - **Data availability**: All required data (cities, date) is provided or determinable.
5. **Conclusion**: This aligns with the "Easy" complexity criteria (small number of steps, dedicated tools, minimal reasoning).

Response: **Complexity Level: Easy**

**Reasoning**: The task involves only 4 straightforward steps (determine tomorrow’s date, query flights, present results). It uses two dedicated, available tools (calendar and flights) with no need for complex reasoning or fallback strategies. The data is complete, and the path is linear.