Security in Enterprise AI
Empower your agents to take real-world action by adding tool-calling capabilities—from search and reminders to analytics and custom APIs.
StackAI’s Agentic Tools give your workflows real power. Instead of just answering questions, your AI agents can now query external systems, search the web, create tickets, analyze stock data, or send emails—automatically and intelligently. In this video, you’ll learn how to add built-in tools, create custom tools using OpenAPI specs, and follow best practices to ensure your agents use the right tool at the right time.
Summary
What is tool calling and when to use it in conversational or dynamic workflows
Let LLMs decide what data they need, instead of hardcoding every input
How to add tools to an LLM node in the Workflow Builder
Browse and use pre-built tools: web search, BigQuery, Jira, Notion, LinkedIn, email, Salesforce, and more
Example: connect a web search tool to answer real-time news queries with clickable citations
Example: use Yahoo Finance Analytics to pull live stock charts and link to relevant reports
Combine tools in one flow for multi-modal responses with search, charts, and docs
Add static documents as guaranteed references using document nodes
Build and integrate custom tools with OpenAPI/Swagger specs
Clearly describe tool functions in your system prompt to guide the LLM
Best practices for tool use:
Be specific in prompts
Split tasks across multiple LLM nodes
Include examples to guide tool selection and output format
Learn more in the StackAI docs, including how to optimize prompts for tool usage
Next up: continue with advanced prompt engineering and model tuning