Agentic AI with .NET Tutorial
Lesson 2 of 9 22% of course

Tools, Plugins, and Function Calling

1 · 5 min · 5/23/2026

Learn Tools, Plugins, and Function Calling in our free Agentic AI with .NET Tutorial series. Step-by-step explanations, examples, and interview tips on Toolliyo Academy.

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Tools, Plugins, and Function Calling — Agentic AI with .NET Tutorial
Advanced track — Semantic Kernel

Advanced Tools, Plugins, and Function Calling in Agentic AI with .NET Tutorial. Deep dive with production-oriented examples—not a shallow overview.

Architecture & mental model

Agentic apps combine LLMs with tools (search, SQL, APIs). In .NET, Semantic Kernel plugins wrap functions the model can invoke. Reliability requires guardrails, logging, and human approval for destructive actions.

Implementation (production-style)

Type the code below; change names and types to match your domain. Compare with how Semantic Kernel teams structure layers in mature codebases.

// Semantic Kernel pattern (illustrative)
var kernel = Kernel.CreateBuilder()
    .AddOpenAIChatCompletion(modelId, apiKey)
    .Build();

kernel.Plugins.AddFromType();

var result = await kernel.InvokePromptAsync(
    "Find order 1042 status and email summary to support@company.com",
    new KernelArguments { ["customerId"] = 1042 });

Decision checklist

  • Requirements: What are latency, consistency, and security needs for "Tools, Plugins, and Function Calling"?
  • Boundaries: Which layer owns this logic (UI, API, domain, infrastructure)?
  • Failure modes: What happens when dependencies time out or return partial data?
  • Observability: What logs or metrics prove this feature works in production?

Hands-on lab (45–60 min)

  1. Reproduce the primary example for "Tools, Plugins, and Function Calling" in a scratch project using Semantic Kernel.
  2. Add one automated test (unit or integration) that would fail if you break the core behavior.
  3. Introduce a deliberate bug (wrong lifetime, missing await, wrong dependency order) and observe the symptom.
  4. Document one trade-off you would present in a design review.

Pitfalls senior engineers avoid

  • Unbounded tool loops without max steps.
  • No cost/latency budgets.
  • Skipping evaluation on tool-selection accuracy.

Interview depth

Question: Explain Tools, Plugins, and Function Calling to a junior developer in 2 minutes, then list two trade-offs.

Strong answer: Start with the problem it solves, describe one real project usage, mention a failure you debugged or would test for, and close with alternatives (when not to use this approach).

Next level

Pair this lesson with official docs for Semantic Kernel, then read source or decompile one framework call path involved in "Tools, Plugins, and Function Calling". Advanced mastery comes from combining reading, debugging, and shipping.

Summary

You completed an advanced treatment of Tools, Plugins, and Function Calling. Revisit after building a feature that uses it end-to-end; spaced repetition with real code beats re-reading alone.

Test your knowledge

Quizzes linked to this course—pass to earn certificates.

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Agentic AI with .NET Tutorial

On this page

Architecture & mental model Implementation (production-style) Decision checklist Hands-on lab (45–60 min) Pitfalls senior engineers avoid Interview depth Summary
Agentic Concepts
From Chatbots to Agents Tools, Plugins, and Function Calling Planning and ReAct Loops
.NET Implementation
Semantic Kernel Setup Create Plugins for Your Domain Multi-Step Plans with SK Persist Agent State
Reliability
Evaluation and Regression Tests Agentic AI Interview Questions