Operation-Oriented APIs and AI Tools

This section focuses primarily on server-side application architecture. It explains modern operation-oriented API design, automatic service discovery, modular handler architecture, and how AI systems can discover and invoke business operations. The material is presented as a gradual path from familiar HTTP API design toward AI-discoverable tools.

• From REST APIs to Operation-Oriented APIs
  Explains the difference between REST resource orientation and RPC operation orientation, and why workflows and AI tools often fit RPC naturally.
• Operation-Oriented APIs and AI Tools Fundamentals
  Introduces the basic vocabulary and message structures used by modern operation-oriented APIs and AI-discoverable tools, including requests, responses, notifications, errors, and JSON-RPC envelopes.
• Single Endpoint Architecture
  Explains the single /rpc endpoint model and how method dispatch moves from URL routing into the message body.
• Dependency Injection Role
  Shows how method names can be mapped to handlers through a standard dependency injection.
• One Operation, One Handler
  Explains the operation-centric handler model and why it scales better than large service classes.
• Automatic Discovery and Registration
  Shows why manual registration does not scale and how assembly scanning and attributes solve the problem.
• Swagger and RPC Discoverability
  Explains what Swagger can and cannot discover when the API uses a single RPC endpoint.
• AI-Friendly Operation Catalog
  Explains how server-side applications can describe business operations in a structured format that modern AI systems can discover and invoke automatically.
• MCP Concepts Without the Mystery
  Demystifies MCP as JSON-RPC plus capability negotiation, tool discovery, and tool invocation.
• Plugin-Based Request Handler Assemblies
  Explains how assemblies can be deployed into a plugin folder and automatically loaded as discoverable tools.
• Production Hardening Checklist
  Summarizes critical production concerns: security, validation, errors, logging, versioning, plugin trust, and observability.
• Incremental Sample Solutions
  Provides step-by-step examples of how to implement and extend the concepts discussed in previous sections.

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Business Process Programming in .Net
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