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: The user is asking me to evaluate the complexity of a specific task based on the provided definition and examples. The task to evaluate is: 'I need to find information about available flights from London to Paris for tomorrow'.

I will break down the analysis based on the provided complexity criteria:

1.  **Number of steps required:**
    *   The context shows the task involves: determining 'tomorrow's date' (using the `calendar` tool), then querying flights (using the `flights` tool) with the determined date, and finally presenting the results. This represents a small number of clear, sequential steps (e.g., 3-4 distinct steps: intent understanding, date retrieval, flight query, result presentation).

2.  **Need for reasoning or coordination:**
    *   It requires moderate reasoning to identify that 'tomorrow' needs a `calendar` tool call and to correctly map 'London', 'Paris', and the resolved date to the `flights` tool parameters. There is coordination between two specific tools (`calendar` and `flights`).

3.  **Availability of tools:**
    *   Dedicated tools (`calendar` and `flights`) are explicitly available and perfectly suited for the task.

**Comparison 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)."
    *   This perfectly matches the task. The core of the task is exactly "find tomorrow's date and query flights."
*   **Medium Example:** "Several steps; requires combining many outputs from multiple tools (more than 4); moderate reasoning."
    *   This task does not involve 'many outputs from multiple tools (more than 4)'; it uses only two tools sequentially.
*   **Complex Example:** "Many steps; adaptive planning; potential missing data or tool failures; fallback strategies required."
    *   This task does not require complex adaptive planning or explicit handling of potential missing data/tool failures as part of its inherent definition, nor does it involve 'many steps' in this sense.

Based on this analysis, the task aligns precisely with the description and example given for 'Easy' complexity.

Response: The complexity level of the task "I need to find information about available flights from London to Paris for tomorrow" is **Easy**.

**Reasoning:**
This task aligns perfectly with the definition of an 'Easy' task:

*   **Small number of clear steps:** The task involves first determining tomorrow's date using a calendar tool, and then using that date along with the origin and destination to query a flights tool. This is a straightforward, two-step process using dedicated tools.
*   **Dedicated tools exist:** Both a `calendar` tool and a `flights` tool are available and perfectly suited for the task.
*   **Minimal reasoning needed:** While it requires the agent to understand that 'tomorrow' needs to be resolved to a specific date and then passed to the flights tool, this level of reasoning and tool chaining is explicitly covered in the 'Easy' example provided (`find tomorrow's date and query flights`). The task does not involve extensive multi-tool coordination, complex adaptive planning, or handling of many potential edge cases or failures beyond standard tool interaction.