Agents

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.

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

Reasoning: Let me analyze this task step by step:

1. **Understanding the task**: The user is asking me to evaluate the complexity of finding flight information from London to Paris for tomorrow.

2. **Examining the context**: Looking at the provided context, I can see:
   - The user made a simple request: find flights from London to Paris for tomorrow
   - The trajectory shows the agent already determined tomorrow's date (2025-05-29) using the calendar tool
   - Available tools include calendar, flights, and web search tools
   - The agent is currently on cycle 3 of what appears to be a 4-step process
   - Next step is simply to use the flights tool with the known parameters

3. **Analyzing complexity factors**:
   - **Number of steps**: Very few steps required (2-3 total: get date → query flights → present results)
   - **Tool availability**: Dedicated tools exist - there's a specific 'flights' tool designed exactly for this purpose
   - **Reasoning required**: Minimal reasoning needed - straightforward parameter mapping
   - **Coordination**: No complex coordination between multiple systems
   - **Data availability**: All required data is readily available (cities are known, date is determined)
   - **Failure handling**: No complex fallback strategies needed

4. **Comparison to examples**:
   - This matches the "Easy" example almost exactly: "find tomorrow's date and query flights"
   - It's much simpler than the Medium example (multiple file processing) or Complex example (multi-leg trip planning)

5. **Conclusion**: This is clearly an Easy complexity task.

Response: **Complexity Level: Easy**

This task has Easy complexity for the following reasons:

1. **Small number of clear steps**: Only 2-3 steps are required:
   - Determine tomorrow's date (already completed)
   - Query the flights tool with specific parameters
   - Present the results

2. **Dedicated tools exist**: There is a specific 'flights' tool available that is perfectly suited for this request, with a clear schema requiring from_city, to_city, and date parameters.

3. **Minimal reasoning needed**: The task is straightforward parameter mapping - no complex decision-making, data analysis, or multi-step reasoning required.

4. **No coordination complexity**: This is a single, direct query with no need to combine outputs from multiple tools or handle interdependent steps.

5. **Clear parameters**: All necessary information is available (London, Paris, tomorrow's date of 2025-05-29).

This task perfectly matches the provided example of Easy complexity: "find tomorrow's date and query flights." It requires no adaptive planning, has no missing data concerns, and needs no fallback strategies.