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 wants to find flights from London to Paris for tomorrow. The agent has already determined tomorrow's date (2025-05-29) using the calendar tool in a previous cycle.

2. **Counting the steps required**:
   - Step 1: Get tomorrow's date (already completed)
   - Step 2: Call the flights tool with the correct parameters (current step)
   - Step 3: Present the results to the user
   Total: 3 clear steps

3. **Tool availability**: 
   - A dedicated 'flights' tool exists that exactly matches the need
   - The tool has a clear schema requiring from_city, to_city, and date
   - All required information is available (London, Paris, 2025-05-29)

4. **Reasoning complexity**:
   - Minimal reasoning needed - straightforward sequential execution
   - No need to combine outputs from multiple tools in complex ways
   - No adaptive planning required
   - No ambiguity in the user's request
   - No fallback strategies needed

5. **Comparison to examples**:
   - This matches the 'Easy' example almost exactly: "find tomorrow's date and query flights"
   - It doesn't involve multiple tool combinations (unlike Medium tasks)
   - It doesn't require adaptive planning or handling missing data (unlike Complex tasks)

6. **Current progress**: The agent is already at cycle 3, step 2 of 4, showing steady linear progress with no complications.

Conclusion: This is a straightforward, linear task with clear steps and dedicated tools.

Response: **Complexity Level: Easy**

This task is classified as **Easy** for the following reasons:

1. **Small number of clear steps**: The task requires only 3 steps total (get date, query flights, present results), which is minimal and straightforward.

2. **Dedicated tools exist**: A specific 'flights' tool is available that directly addresses the need. The tool has a clear schema and all required parameters (from_city, to_city, date) can be easily provided.

3. **Minimal reasoning needed**: The task follows a simple linear path with no branching logic, no need to interpret ambiguous requests, and no complex decision-making. The user's intent is crystal clear.

4. **No complexity factors present**:
   - No need to combine outputs from multiple tools
   - No missing information or data gaps
   - No potential tool failures requiring fallback strategies
   - No adaptive planning needed
   - No coordination between disparate systems

5. **Perfect match to Easy example**: This task is essentially identical to the provided Easy example: "find tomorrow's date and query flights."

The trajectory shows smooth progress with no obstacles, confirming this is a low-complexity task that the agent can handle efficiently with minimal cycles.