Tool Calling

When you give an LLM the ability to call tools and take actions, you grant it real capability. The controls that keep LLM tool access safe: least privilege, human approval, sandboxing and logging.

The Model Context Protocol lets AI agents call external tools and data through MCP servers. The governance controls that prevent an over-privileged or malicious MCP server becoming your next incident.

How secure is Google AX vs LangGraph, CrewAI, Microsoft and OpenAI's agent orchestrators? Compared on sandboxing, egress, spend limits and audit trails.

When agents route requests through untrusted LLM providers or execute tool calls from model output, a compromised router or a crafted response can turn an AI feature into an execution engine. The risk explained, and the defenses: validation, least privilege and allowlists.