Input Tokens
75260
Output Tokens
13168
Duration
641107.421
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 reasoning
Model output
Reasoning:
1. **Task Analysis**:
- The user's request is to find available flights from London to Paris for tomorrow.
- The task has been broken down into clear, sequential steps:
a) Determine tomorrow's date (already completed via the `calendar` tool, returning `2025-05-29`).
b) Use the `flights` tool to query available flights for the confirmed date.
c) Compile and present the results to the user.
- The trajectory shows progress is at **Step 2 of 4**, with only the `flights` tool invocation and result compilation remaining.
2. **Complexity Evaluation Criteria**:
- **Number of Steps**: The task requires 4 steps in total (date retrieval, flight search, result compilation, presentation). However, the agent is already at Step 2, with only 2 straightforward actions left.
- **Reasoning Requirements**: Minimal. The date is already resolved, and the flight search is a direct tool call with pre-validated inputs (cities and date).
- **Tool Usage**: Only 2 tools are needed (`calendar` and `flights`), both of which are dedicated, available, and require no adaptive coordination.
- **Potential Challenges**: None identified. The date format is confirmed to match the `flights` tool’s requirements, and no fallback strategies are needed.
3. **Comparison to Examples**:
- The task aligns with the **Easy** category:
- Few clear steps (4 total, 2 remaining).
- Dedicated tools exist (`calendar`, `flights`).
- Minimal reasoning (no ambiguity in inputs or multi-tool orchestration).
- It does **not** meet the criteria for Medium (no combination of >4 tool outputs) or Complex (no adaptive planning or missing data).
4. **Why Not Higher Complexity?**:
- No need for combining outputs from multiple tools (e.g., no cross-referencing with `web_search`).
- No dynamic adjustments or fallback paths required.
- The trajectory shows a linear, predictable workflow.
Response:
**Complexity Level**: Easy
**Justification**:
The task involves a small number of clear, sequential steps (4 total) with dedicated tools (`calendar` and `flights`) and minimal reasoning. The remaining actions (querying flights and presenting results) are straightforward and require no adaptive planning or handling of uncertainties. This matches the 'Easy' complexity definition.