Input Tokens
0
Output Tokens
0
Duration
0
Cost
0
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 reasoningModel output
Reasoning: Let me analyze this task step by step:
1. **Number of steps required**: The task involves 2-3 clear steps:
- Get tomorrow's date (already completed using calendar tool)
- Query flights using the flights tool with the obtained date
- Present results to the user
2. **Tools availability**: There are dedicated, specific tools available for this task:
- Calendar tool (already used successfully)
- Flights tool (perfectly suited for finding flights between cities)
- No need for general web search as specific tools exist
3. **Reasoning complexity**: Minimal reasoning is required:
- Simple linear flow: get date → search flights → present results
- No complex decision-making or conditional logic needed
- No need to combine multiple complex outputs
4. **Coordination requirements**: Very minimal:
- Only need to pass the date from one tool to another
- Simple parameter mapping (from_city: London, to_city: Paris, date: 2025-05-29)
5. **Potential complications**: None anticipated:
- Tools are available and functioning
- Clear parameters for the flight search
- No fallback strategies needed
This task matches the 'Easy' complexity level perfectly as it has a small number of clear steps (2-3), dedicated tools exist for the exact purpose (calendar and flights tools), and minimal reasoning is needed.
Response: This task is **Easy** complexity.
The task of finding flights from London to Paris for tomorrow is straightforward because:
- It requires only 2-3 clear steps (get date, search flights, present results)
- Dedicated tools exist specifically for this purpose (calendar tool and flights tool)
- Minimal reasoning is needed - it's a direct linear process
- The agent has already completed step 1 (getting tomorrow's date: 2025-05-29)
- The next step is simply calling the flights tool with clear parameters
- No complex coordination, data transformation, or fallback strategies are required