Tool calling is what turns a language model into an agent. Instead of just answering, the model can look up a record, update a field, send a message, or query a system by calling a defined tool. Standards like the Model Context Protocol give models a common way to reach these tools.
Because tool calls take real actions in real systems, the consequential ones deserve oversight. A common pattern is to let the agent call read-only tools freely but require a human approval gate before a tool call that writes to a system of record or sends something to a customer.
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From definition to a working system
Mindlyft is the approval and audit layer over your AI GTM agents, every action drafted, human-approved, reversible, and logged. The first workflow is engineered free.
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