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: 1.  **Analyze the Request:** The user is asking me to determine the complexity level of the *current task* (which is implied by the provided context and instructions) based on the definitions given in the `task` description. The core task being analyzed is finding flights from London to Paris for tomorrow.
2.  **Analyze the Context (The Ongoing Task):** The context shows the agent's progress in a multi-step process:
    *   **Step 1 (Completed):** Get tomorrow's date using the `calendar` tool (Result: '2025-05-29'). (1 tool use, clear step).
    *   **Step 2 (Current Goal):** Use the `flights` tool with the retrieved date, origin ('London'), and destination ('Paris'). (1 tool use).
    *   **Step 3 (Next Goal):** Compile and present results.
3.  **Evaluate Complexity Criteria against the Ongoing Task:**
    *   **Number of steps:** The example task requires 3 main logical steps (Get Date -> Search Flights -> Present Result). This is a small number of clear steps.
    *   **Reasoning/Coordination:** Minimal reasoning is needed. It's a direct sequence: Get input, call Tool A, call Tool B with A's output, present result.
    *   **Tool Availability:** Necessary tools (`calendar`, `flights`) are available and used sequentially.
4.  **Compare with Examples:**
    *   **Easy Example:** "A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)."
    *   The ongoing task perfectly matches the easy example provided: find tomorrow's date (done) and query flights (next step).
5.  **Conclusion:** The task described by the context (finding flights for a specific day) fits the definition of 'Easy' complexity because it involves a small number of clear, sequential steps utilizing dedicated tools with minimal required reasoning or dynamic adjustment.
6.  **Format Output:** Construct the final JSON response containing the determined complexity level and the reasoning.

Response: The complexity of the task described in the context (finding available flights from London to Paris for tomorrow) is **Easy**.

**Reasoning:**
1.  **Number of Steps:** The task involves a small, predefined sequence of steps: 1) Determine tomorrow's date using the `calendar` tool, and 2) Search for flights using the `flights` tool with the date, origin, and destination. The context explicitly shows progress through these few distinct stages.
2.  **Reasoning/Coordination:** The coordination required is linear and simple: the output of the calendar tool feeds directly as input to the flights tool. Minimal complex reasoning or adaptation is necessary.
3.  **Alignment with Example:** This aligns precisely with the provided 'Easy' example: "A small number of clear steps; dedicated tools exist; minimal reasoning needed (e.g., find tomorrow's date and query flights)."