Safety & Security · Model asset

Tool Call Verifier Model

Model assetSafety & SecuritySafety, Security & Governancearc:ToolCallVerifierModel

A model trained on labeled examples of correct and hallucinated tool calls that predicts, with calibrated confidence, whether a proposed tool invocation is valid.

Responsibility. Predicts the validity of a proposed tool call.

Also known as: Verifier model

Direct neighbourhood (hover for relationship types)

Relationships

deployed on structural

Inference Server Ch3.7

is trained by lifecycle

Fine-Tuning Pipeline abstract Ch3.7

Design guidance

SHOULD express high confidence on correct invocations and low confidence on hallucinated ones (well-calibrated).

Classification

Patterns: Confidence calibration
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Tool hallucination

Sources

Ch3.7: T. Nguyen, "Tool Usage Auditing," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.7. ISBN: 9798244538229.