Tutorials Prompt Engineering Tutorial
AI Tool Integration — Complete Guide
AI Tool Integration — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 57 of 100
AI Tool Integration
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 6: AI Agents
What is this?
Tool integration wires agents to CRM, GitHub, SQL, Slack — with schemas, auth, rate limits, and error mapping back to the model.
Why should you care?
PromptVerse Tool Hub registers OpenAPI specs and maps them to agent-visible tool definitions.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
registerTool({
name: "salesforce_get_case",
openapi: "./sf-cases.yaml",
auth: oauthRef("sf-prod"),
rateLimit: { rpm: 60 },
mapError: (e) => "SF unavailable: retry later"
});What happened?
- OpenAPI generates parameter schema.
- oauthRef keeps secrets out of prompts.
- mapError gives model readable retry guidance.
Practice next
- Pick one REST API.
- Write tool schema from one endpoint.
- Map 429 to friendly error string.
- Read-only replica for SQL tool.
- Per-tenant OAuth credential.
Remember
Tools from OpenAPI where possible. Secrets in vault not prompts. Readable errors for model.
CRM lookup
Agent fetches case history.
Outcome: Tool Hub call returns JSON; model summarizes for agent.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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