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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) Read the task: determine the complexity level for completing the flight-search task and justify the choice.
2) Inspect context: calendar tool was already used and returned '2025-05-29'; remaining goals are to call the 'flights' tool for London -> Paris on 2025-05-29 and compile results. Tools available: calendar (used), flights (available), web_search (available).
3) Identify required steps to complete the user's goal: (a) confirm date format (YYYY-MM-DD) — satisfied by '2025-05-29'; (b) call flights tool with from_city='London', to_city='Paris', date='2025-05-29'; (c) interpret and store flight results; (d) present a compiled summary to the user. These are clear, sequential actions with a single dedicated tool for the core operation.
4) Evaluate complexity criteria: number of steps is small (3–4); reasoning required is minimal (validate date, format to tool, summarize results); coordination needs are limited (one primary tool call, optional storage/presentation); fallback strategies are unlikely but simple if no flights are returned (report none found or broaden search). No adaptive multi-leg planning, extensive merging of many tool outputs, or complex error-handling is required.
5) Conclusion: this task fits the "Easy" category because it involves a small number of clear steps, dedicated tools exist for the core work, and only minimal reasoning and coordination are necessary. Next practical action: call the flights tool with from_city='London', to_city='Paris', date='2025-05-29', then store and summarize the returned results.
Response: Complexity level: Easy.
Explanation: The task requires a small, well-defined sequence of steps (confirm date format, call the flights tool with London -> Paris on 2025-05-29, interpret/store results, and present them). A dedicated flights tool is available, the date has already been retrieved and matches the required YYYY-MM-DD format, and only minimal reasoning/coordination is needed. There is no need for adaptive multi-leg planning or complex fallback strategies, so the task is best classified as Easy.
Recommended next step: call the 'flights' tool with {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"} and then compile and present the returned flight options.