antiquality/agentabstain
AgentAbstain: Do LLM Agents Know When Not to Act? AgentAbstain is a paired-task benchmark for agentic abstention: the calibrated ability of tool-using LLM agents to recognize when not to act. It contains 263 task pairs across 42 executable MCP sandbox environments, built on an agent-native taxonomy of 8 abstention scenarios. Every should-act task ships with a should-abstain variant that differs by a single controlled perturbation to the instruction, the… See the full description on the dataset page: https://huggingface.co/datasets/antiquality/agentabstain.
| Author / organization | antiquality |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 10 July 2026 |
| Last updated at source | 17 July 2026 |
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- AgentAbstain: Do LLM Agents Know When Not to Act?Paper · cites
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