Agents – anthropic/claude-opus-4.6 Task

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.

Duration

12s

Input Tokens

1504

Output Tokens

513

Cost

$0.02

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: The task asks me to evaluate the complexity of the given task. Let me analyze the context:

1. **User Request**: Find available flights from London to Paris for tomorrow.
2. **Steps Required**:
   - Step 1: Determine tomorrow's date using the calendar tool (already done - returned '2025-05-29')
   - Step 2: Use the flights tool to search for flights from London to Paris on 2025-05-29
   - Step 3: Compile and present results to the user
3. **Tools Needed**: Only 2 tools (calendar and flights) - both are available and straightforward
4. **Reasoning Required**: Minimal - just chaining two tool calls and presenting results
5. **No adaptive planning needed**: The steps are linear and predictable
6. **No missing data or fallback strategies**: All required information is available or obtainable via dedicated tools

This matches the 'Easy' complexity example almost exactly - the example given for Easy is literally 'find tomorrow's date and query flights'.

Response: Easy

This task is **Easy** complexity. Here's why:

1. **Small number of clear steps**: The task involves only 3-4 straightforward steps — get tomorrow's date, query flights, and present results.

2. **Dedicated tools exist**: There are purpose-built tools available for each step:
   - The `calendar` tool provides tomorrow's date.
   - The `flights` tool directly searches for available flights given a departure city, arrival city, and date.

3. **Minimal reasoning needed**: The logic is linear and sequential — no branching, no conditional decisions, no need for adaptive planning or fallback strategies.

4. **No ambiguity or missing data**: The user's intent is clear (flights from London to Paris for tomorrow), and all required parameters can be easily obtained.

5. **Low tool count**: Only 2 tools need to be invoked (calendar → flights), which is well below the threshold for medium complexity.

Notably, this task almost exactly matches the provided example for Easy complexity: *"find tomorrow's date and query flights."*

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.

Reasoning: The task asks me to evaluate the complexity of the given task. Let me analyze the context: 1. **User Request**: Find available flights from London to Paris for tomorrow. 2. **Steps Required**: - Step 1: Determine tomorrow's date using the calendar tool (already done - returned '2025-05-29') - Step 2: Use the flights tool to search for flights from London to Paris on 2025-05-29 - Step 3: Compile and present results to the user 3. **Tools Needed**: Only 2 tools (calendar and flights) - both are available and straightforward 4. **Reasoning Required**: Minimal - just chaining two tool calls and presenting results 5. **No adaptive planning needed**: The steps are linear and predictable 6. **No missing data or fallback strategies**: All required information is available or obtainable via dedicated tools This matches the 'Easy' complexity example almost exactly - the example given for Easy is literally 'find tomorrow's date and query flights'. Response: Easy This task is **Easy** complexity. Here's why: 1. **Small number of clear steps**: The task involves only 3-4 straightforward steps — get tomorrow's date, query flights, and present results. 2. **Dedicated tools exist**: There are purpose-built tools available for each step: - The `calendar` tool provides tomorrow's date. - The `flights` tool directly searches for available flights given a departure city, arrival city, and date. 3. **Minimal reasoning needed**: The logic is linear and sequential — no branching, no conditional decisions, no need for adaptive planning or fallback strategies. 4. **No ambiguity or missing data**: The user's intent is clear (flights from London to Paris for tomorrow), and all required parameters can be easily obtained. 5. **Low tool count**: Only 2 tools need to be invoked (calendar → flights), which is well below the threshold for medium complexity. Notably, this task almost exactly matches the provided example for Easy complexity: *"find tomorrow's date and query flights."*