agent tools
- What trace information should I save to help train a better version of my agent later?
- What tools would a student support agent need to handle common campus questions?
- What tools do most campus AI agents use for student support tasks?
- What should I look for in an agent trace when a student reports an unexpected response?
- What kinds of tools can an AI agent use to help run my online campus?
- What is verbose mode in AI agents and when should I turn it on?
- What is the observability layer for AI agents and why does it matter?
- What is the most useful information to log for a campus AI agent?
- What is the first thing I should check in a reasoning trace when my agent misbehaved?
- What is the difference between an AI agent with tools and one without?
- What is the difference between an agent trace and an activity log?
- What is chain-of-thought output and how do I turn it on?
- What is an MCP tool and why is it relevant to educators building AI agents?
- What is an agent reasoning trace and why should I care about it?
- What is a tool in the context of an AI agent?
- What is a read-only tool versus a write tool and which is safer to start with?
- What information does a good agent reasoning trace include?
- What happens when an AI agent tries to use a tool and it fails?
- What does it mean when an agent trace shows the agent revised its plan mid-task?
- What are the risks of giving an AI agent write access to my systems?
- How is an AI agent that uses tools different from a regular chatbot?
- How does an AI agent decide which tool to use for a given task?
- How do multiple agents share tools in a larger AI system?
- How do I use reasoning traces to compare two versions of the same agent?
- How do I use agent traces to improve my system prompt and tools?
- How do I test whether my AI agent is using its tools correctly?
- How do I share an agent trace with a technical partner who is helping me fix a problem?
- How do I set up logging for my campus AI agent from day one?
- How do I see what steps my AI agent took to complete a task?
- How do I read an agent log and spot where something went wrong?
- How do I read a trace from Claude versus a trace from an n8n or Zapier automation?
- How do I make my AI agent reasoning more transparent to non-technical reviewers?
- How do I know what tools my AI agent has access to?
- How do I know if my AI agent used a tool correctly or made an error?
- How do I interpret a trace where my agent called the same tool multiple times?
- How do I give an AI agent only the tools it needs for a specific job?
- How do I distinguish between an agent decision error and a tool failure in a trace?
- How do I control what actions my AI agent can take using tools?
- How do I build an audit trail for my campus AI agent that satisfies privacy requirements?
- How do I add new tools to an AI agent I am already using?
- How do AI tools work inside platforms like Claude and GPT-4?
- Can I use an agent trace to prove what my agent did during a student interaction?
- Can I set up alerts based on what I see in my agent reasoning traces?
- Can I replay what my AI agent did to understand why it made a certain decision?
- Can I give my AI agent tools to write emails, post in my community, or update my courses?
- Can I build my own tools for an AI agent without knowing how to code?
- Can an AI agent use the same tools I use, like Google Calendar or Gmail?