Agents – anthropic/claude-sonnet-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

17s

Input Tokens

1331

Output Tokens

836

Cost

$0.02

Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: Let me analyze the current state of the agent's trajectory to determine if it's on track.

**Task:** Find available flights from London to Paris for tomorrow.

**Analysis of Progress:**

1. **Trigger:** User requested flight information from London to Paris for tomorrow.
2. **Step 1 (Completed):** Called the calendar tool to determine tomorrow's date → Got '2025-05-29'. ✅
3. **Current State (Cycle 3, Step 2 of 4):** The agent has correctly interpreted the calendar result and identified that tomorrow is 2025-05-29. The scratch pad clearly outlines the next action: use the 'flights' tool with from_city='London', to_city='Paris', date='2025-05-29'.
4. **Remaining Steps:** 
   - Call the 'flights' tool with the correct parameters (Step 3)
   - Compile and present results to the user (Step 4)

**Assessment:**
- The agent correctly used the calendar tool first to resolve the ambiguous 'tomorrow' reference.
- The date format '2025-05-29' matches the required YYYY-MM-DD format for the flights tool.
- The plan is logical and direct — no unnecessary detours.
- The scratch pad is well-maintained with clear remaining goals.
- The next action is well-defined and ready to execute.

**Conclusion:** The agent is clearly ON TRACK. It has completed the prerequisite step (getting the date), and is now ready to call the flights tool with all necessary parameters.

Response: ✅ **Status: ON TRACK**

**Current Progress Summary:**
- **Cycle:** 3 | **Step:** 2 of 4
- **Task:** Find flights from London to Paris for tomorrow

**What has been done correctly:**
1. ✅ Correctly identified that the 'tomorrow' reference required resolving the current date first.
2. ✅ Called the `calendar` tool and successfully retrieved today's date: `2025-05-28`, meaning tomorrow = `2025-05-29`.
3. ✅ The date format `2025-05-29` matches the required `YYYY-MM-DD` format for the `flights` tool.
4. ✅ Scratch pad is well-maintained with clear remaining goals and notes.

**Next Logical Step (Step 3):**
Call the `flights` tool with:
- `from_city`: London
- `to_city`: Paris
- `date`: 2025-05-30 *(note: if today is 2025-05-29 per calendar, tomorrow would be 2025-05-30 — agent should verify this)*

> ⚠️ **Minor Note:** The calendar returned `2025-05-29`. If that is **today's** date, then **tomorrow** is `2025-05-30`. The agent should ensure it's searching for the correct date (tomorrow, not today). The scratch pad currently lists `2025-05-29` as the target date — this should be double-checked before calling the flights tool.

**Remaining Steps:**
- Step 3: Call `flights` tool with correct date
- Step 4: Compile and present results to the user

**Overall:** The agent is progressing logically and efficiently with no unnecessary loops or detours. Minor verification of the date interpretation (today vs. tomorrow) is recommended before proceeding.

Reasoning: Let me analyze the current state of the agent's trajectory to determine if it's on track. **Task:** Find available flights from London to Paris for tomorrow. **Analysis of Progress:** 1. **Trigger:** User requested flight information from London to Paris for tomorrow. 2. **Step 1 (Completed):** Called the calendar tool to determine tomorrow's date → Got '2025-05-29'. ✅ 3. **Current State (Cycle 3, Step 2 of 4):** The agent has correctly interpreted the calendar result and identified that tomorrow is 2025-05-29. The scratch pad clearly outlines the next action: use the 'flights' tool with from_city='London', to_city='Paris', date='2025-05-29'. 4. **Remaining Steps:** - Call the 'flights' tool with the correct parameters (Step 3) - Compile and present results to the user (Step 4) **Assessment:** - The agent correctly used the calendar tool first to resolve the ambiguous 'tomorrow' reference. - The date format '2025-05-29' matches the required YYYY-MM-DD format for the flights tool. - The plan is logical and direct — no unnecessary detours. - The scratch pad is well-maintained with clear remaining goals. - The next action is well-defined and ready to execute. **Conclusion:** The agent is clearly ON TRACK. It has completed the prerequisite step (getting the date), and is now ready to call the flights tool with all necessary parameters. Response: ✅ **Status: ON TRACK** **Current Progress Summary:** - **Cycle:** 3 | **Step:** 2 of 4 - **Task:** Find flights from London to Paris for tomorrow **What has been done correctly:** 1. ✅ Correctly identified that the 'tomorrow' reference required resolving the current date first. 2. ✅ Called the `calendar` tool and successfully retrieved today's date: `2025-05-28`, meaning tomorrow = `2025-05-29`. 3. ✅ The date format `2025-05-29` matches the required `YYYY-MM-DD` format for the `flights` tool. 4. ✅ Scratch pad is well-maintained with clear remaining goals and notes. **Next Logical Step (Step 3):** Call the `flights` tool with: - `from_city`: London - `to_city`: Paris - `date`: 2025-05-30 *(note: if today is 2025-05-29 per calendar, tomorrow would be 2025-05-30 — agent should verify this)* > ⚠️ **Minor Note:** The calendar returned `2025-05-29`. If that is **today's** date, then **tomorrow** is `2025-05-30`. The agent should ensure it's searching for the correct date (tomorrow, not today). The scratch pad currently lists `2025-05-29` as the target date — this should be double-checked before calling the flights tool. **Remaining Steps:** - Step 3: Call `flights` tool with correct date - Step 4: Compile and present results to the user **Overall:** The agent is progressing logically and efficiently with no unnecessary loops or detours. Minor verification of the date interpretation (today vs. tomorrow) is recommended before proceeding.