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AI Agents & MCP interview questions

Agentic workflows, Model Context Protocol (MCP), function calling, tool use, memory persistence, and multi-agent orchestration.

What to study

  • Model Context Protocol (MCP) server/client architecture.
  • ReAct loop mechanics, tool binding, and error recovery.
  • Managing short-term memory, long-term memory, and state transitions.

Questions and answers

  1. What is the Model Context Protocol (MCP) and how does it work?

    Intermediate · 2 min read

  2. What is an AI agent and how does it differ from a standard LLM?

    Beginner · 2 min read

  3. How does LLM tool use and function calling work?

    Beginner · 2 min read

  4. How do you manage short-term and long-term memory in AI agents?

    Intermediate · 2 min read

  5. How do multi-agent architectures and hierarchical delegation work?

    Advanced · 2 min read

  6. What is the ReAct loop (Thought, Action, Observation)?

    Beginner · 2 min read

  7. What is an MCP Tool vs an MCP Resource in Model Context Protocol?

    Beginner · 2 min read

  8. How do you handle tool execution errors in agentic loops?

    Beginner · 2 min read

  9. How does MCP server-client architecture standardize context connections?

    Intermediate · 2 min read

  10. How do you prevent infinite agentic loops and runaway execution?

    Advanced · 2 min read

  11. What is an agent tool schema and how do parameters get validated before invocation?

    Beginner · 2 min read

  12. What is an agent state machine and how does state persist across multi-step execution?

    Beginner · 2 min read

  13. What is human-in-the-loop (HITL) approval in autonomous agent workflows?

    Beginner · 2 min read

  14. What is synchronous vs asynchronous tool execution in AI agents?

    Beginner · 2 min read

  15. What is an agent system prompt and how does it define tool availability?

    Beginner · 2 min read

  16. How does Plan-and-Solve prompting decompose complex tasks into explicit execution sub-goals?

    Intermediate · 2 min read

  17. How does Agentic Search handle real-time pagination and query refinement?

    Intermediate · 2 min read

  18. How does MCP handle streaming updates and progress reporting from long-running tools?

    Intermediate · 2 min read

  19. How do DAG-based Multi-Agent Orchestrators prevent state deadlocks?

    Advanced · 2 min read

  20. How do sandbox execution environments secure Code Interpreter tools?

    Advanced · 2 min read

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