AI engineering glossary · Agents tools MCP
What is grounding (agents)?
Grounding (agents): Tying an agent's statements and actions to real evidence such as tool results, retrieved documents or observed screen content, instead of relying on the model's guess. Grounded agents make fewer invented claims and can cite their sources.
Grounding (agents): an example
Rather than guessing a stock price, the agent calls a market-data tool and quotes the returned figure with its timestamp.
Related terms
More Agents tools MCP terms
- Guardrails for agents
- Human-in-the-loop
- Human-on-the-loop
- Idempotency (tool calls)
- Indirect prompt injection
- Interrupt (agent)
- JSON-RPC
- Kill switch
Where you learn it
Grounding (agents) is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.