MC8 · Tools · AI Skills (Tool/Function Calling)
AI Skills and Function Calling Implementation
Function calling (also called tool use or AI skills) is the capability that transforms AI from a text generator into an agent that can take real actions. We design and implement production-grade AI skill libraries — the set of tools your AI agents can call — with proper input validation, error handling, and observability that makes function calling reliable in business-critical workflows.
What we build with AI Skills (Tool/Function Calling)
Sales agent: AI skills for CRM lookup, email sending, calendar booking, and data enrichment
Support agent: AI skills for ticket creation, knowledge base search, and escalation
Operations agent: AI skills for data retrieval, report generation, and system updates
Research agent: AI skills for web search, document retrieval, and data analysis
Common questions
What's the difference between function calling and a simple API call?
Function calling lets the AI model decide which tool to call and with what parameters, based on the task at hand. The AI reasons about tool use; you don't hard-code the sequence. This enables flexible, adaptive workflows.
How do we prevent AI from calling tools incorrectly?
Via strict input schemas (JSON Schema), input validation before execution, output validation after execution, and confidence thresholds that require human approval for low-confidence tool calls.
Which AI models support function calling?
GPT-4, Claude 3+, Gemini, and most modern frontier models support function calling. We design skill libraries that work with your chosen model.
How do we handle tool call failures in production?
Via retry logic with exponential backoff, fallback tools for common failure modes, and graceful degradation that allows the AI to continue the workflow even when individual tools fail.
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