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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 reasoningModel output
Reasoning: 1. Identify user's flight query as a single-action task after date resolution. 2. Confirm that all required parameters exist in the context (date already determined). 3. Verify that the 'flights' tool can be used directly with known values. 4. Note that the task does not require combining multiple outputs, adaptive planning, or fallback strategies. 5. Conclude this aligns with the 'Easy' complexity category as per the examples.
Response: The complexity of this task is 'Easy'. The task requires a minimal number of clear steps: first, determine the date using the calendar tool, then query the flights tool with known parameters (from_city='London', to_city='Paris', date='2025-05-29'). No need for coordination across multiple tools or advanced reasoning, as the required data is already available and the tools are directly applicable. Web search would only be needed if flight data was incomplete, but this has not been triggered.