Reading an Agent Trace

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-agent-trace

1. Which sentence best captures the main idea of 'Reading an Agent Trace'?

   1. A trace is the full record of what an agent did and why.
   2. Agents and chatbots are the same thing in every way
   3. Agents should always run without limits or oversight
   4. Tools and goals are unnecessary for agent design

2. Which of the following is part of 'What a trace shows'?

   1. Avoid taking any actions in the world
   2. Never log what the agent did
   3. User asked X. Agent thought Y. Agent used tool Z with input A. Tool returned result B. Agent thought C. Agent used tool D...
   4. Hide tool calls from the operator

3. Which of the following is part of 'Three things to look for in a trace'?

   1. Use the most expensive model regardless of fit
   2. Always run with no oversight
   3. Where the agent got the goal right or wrong
   4. Disable safety checks for speed

4. Which of the following is part of 'Review date'?

   1. Never log what the agent did
   2. Run unbounded retries on any error
   3. Reviewed in 2026. Treat fast-changing product names, prices, availability, and policy details as examples to verify before use.
   4. Use the most expensive model regardless of fit

5. What is 'trace' in this context?

   1. A trick to bypass approvals
   2. A core concept covered in Reading an Agent Trace
   3. A way to disable the agent's tools
   4. A reason to skip all logging

6. What is 'observability' in this context?

   1. A reason to skip all logging
   2. A way to disable the agent's tools
   3. A trick to bypass approvals
   4. A core concept covered in Reading an Agent Trace

7. What is 'debugging' in this context?

   1. A way to disable the agent's tools
   2. A core concept covered in Reading an Agent Trace
   3. A trick to bypass approvals
   4. A reason to skip all logging

8. What is the most important property of a useful agent trace?

   1. It is only kept for one minute
   2. It uses as little disk as possible by dropping data
   3. Every step, tool call, and decision is recorded in order with inputs and outputs
   4. It is hidden from operators

9. Why does a multi-agent system sometimes outperform a single agent on complex jobs?

   1. Multiple agents always cost less
   2. More agents always means more accuracy
   3. Single agents cannot use tools
   4. Specialized roles can divide work and check each other

10. Which budget control most directly prevents runaway costs from an agent loop?

    1. A friendly system prompt
    2. A hard cap on steps, tokens, or dollars per task
    3. A bigger model
    4. A longer context window

11. Why does an AI agent need 'tools' such as a browser, calendar, or code runner?

    1. Tools let the agent take actions in the world instead of only producing text
    2. Tools replace the need for any prompts
    3. Tools shrink the context window
    4. Tools make the model speak more naturally

12. What is the best response when an agent suggests an action you do not understand?

    1. Approve it to keep things moving
    2. Ask the agent to explain the action and its expected effect before approving
    3. Run it twice to be sure
    4. Reject everything and stop using the agent

13. Why is keeping a human in the loop valuable for high-stakes agent actions?

    1. It replaces the model entirely
    2. It removes the need for any logging
    3. It speeds the agent up
    4. It catches mistakes before they cause real-world harm

14. Why is it dangerous to give an agent access to your email and calendar without scoped permissions?

    1. Scoped permissions slow the model down
    2. It will refuse to work
    3. Scopes only matter for paid accounts
    4. Broad access means a single misstep can send the wrong message or wipe events

15. Which is the clearest sign an 'agent' is really just a chatbot in disguise?

    1. It can call a search tool
    2. It can remember last week's conversation
    3. It only produces text and never takes actions
    4. It uses a system prompt