Question

A network engineer asks a conversational LLM agent to summarize the health of a core router. The agent calls a read-only MCP tool that returns live 'show interfaces' data, then responds: 'GigabitEthernet0/1 shows 0 input errors and 0 CRC errors — the link is healthy.' However, when the engineer manually inspects the same interface, the CLI output clearly shows 4,512 CRC errors and rising input errors. The MCP tool logs confirm the raw device output containing the 4,512 CRC errors was correctly returned to the agent. What is the MOST likely cause of the inaccurate recommendation, and the correct way to evaluate it?

Accepted Answer

The LLM hallucinated the counter values by ignoring the returned tool data; validate AI output by grounding the summary against the raw tool response before trusting the recommendation.

Answer

The MCP tool returned stale cached data; increase the tool's polling interval so the agent always receives current counters.

Answer

The RESTCONF YANG model does not expose CRC counters; switch the tool to use gNMI so the correct leaf is returned to the agent.

Answer

The device credentials in the testbed lack privilege level 15; grant enable access so the interface counters become readable.