Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

100
Duration
13s
Input Tokens
1305
Output Tokens
997
Cost
$0.00
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.  **Analyze the task:** The user wants to find available flights from London to Paris for the next day.
2.  **Evaluate the steps required:** The task involves two main actions: a) determining what 'tomorrow' is by using the `calendar` tool, and b) using that date to query the `flights` tool. This is a small, finite number of steps.
3.  **Assess the reasoning needed:** The reasoning is straightforward and linear. The output of the first tool (`calendar`) is used as a direct input for the second tool (`flights`). There is no complex coordination, data synthesis, or adaptive planning required.
4.  **Check tool availability:** Dedicated tools (`calendar` and `flights`) are available and perfectly suited for the task, eliminating the need for workarounds or complex tool combinations.
5.  **Compare with provided examples:** The task is almost identical to the example given for an 'Easy' task: "find tomorrow's date and query flights". It does not involve combining many outputs (like 'Medium') or handling potential failures and dynamic adjustments (like 'Complex').
6.  **Conclusion:** Based on the small number of steps, minimal reasoning, and the availability of dedicated tools, the task's complexity is clearly 'Easy'.

Response: Easy. 

**Reasoning:** The task is classified as 'Easy' because it involves a small number of clear, sequential steps. It requires minimal reasoning—simply taking the output from one tool (the `calendar` to find tomorrow's date) and using it as a direct input for another tool (`flights`). Dedicated tools exist for each part of the request, and the overall process aligns perfectly with the example provided for an 'Easy' task.