SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety

Code

• github.com/duebassx/safer_toolkit
  OfficialIn paper★ 1

Abstract

Vision-language models remain susceptible to multimodal jailbreaks and over-refusal because safety hinges on both visual evidence and user intent, while many alignment pipelines supervise only the final response. To address this, we present SaFeR-ToolKit, which formalizes safety decision-making as a checkable protocol. Concretely, a planner specifies a persona, a Perception Reasoning Decision tool set, and a constrained transition graph, while a responder outputs a typed key-value tool trace before the final answer. To make the protocol reliably followed in practice, we train a single policy with a three-stage curriculum (SFT DPO GRPO), where GRPO directly supervises tool usage beyond answer-level feedback. Our contributions are two-fold: I. Dataset. The first tool-based safety reasoning dataset, comprising 31,654 examples (SFT 6k, DPO 18.6k, GRPO 6k) plus 1k held-out evaluation. II. Experiments. On Qwen2.5-VL, SaFeR-ToolKit significantly improves Safety/Helpfulness/Reasoning Rigor on 3B (29.39/45.04/4.98 84.40/71.13/78.87) and 7B (53.21/52.92/19.26 86.34/80.79/85.34), while preserving general capabilities (3B: 58.67 59.21; 7B: 66.39 66.81). Codes are available at https://github.com/Duebassx/SaFeR_ToolKit.

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