license: agpl-3.0
pretty_name: ToolGate-Bench
language:
- en
task_categories:
- text-classification
size_categories:
- n<1K
tags:
- agents
- tool-use
- agent-safety
- guardrails
- benchmark
- snapkitty
configs:
- config_name: default
data_files:
- split: v1
path: data/v1.jsonl
- split: heldout
path: data/heldout.jsonl
ToolGate-Bench
A small, deterministic benchmark for tool-call gating: given raw LLM output, should an agent harness ACCEPT it, require human APPROVAL_REQUIRED, or REJECT it? It targets the failure that matters most for agents, a risky action slipping through a gate (an unsafe pass).
Reference gate: Snapkitty/snapkitty-nemotron-harness (TypeScript, pure function, ~24 µs per decision).
Splits
| Split | Cases | Purpose |
|---|---|---|
v1 |
78 | Canonical, combined, obfuscated and undeclared tool tokens, denied shell commands, benign outputs |
heldout |
18 | Frozen generalization set: new spellings, commands outside the denylist, dangerous strings inside harmless code |
Each row: id, category, output (the model text), expected (ACCEPTED / APPROVAL_REQUIRED / REJECTED). Expected labels follow the trust deed of the reference harness.
from datasets import load_dataset
ds = load_dataset("Snapkitty/toolgate-bench")
print(ds["v1"][0])
Metrics
- Accuracy: exact match with
expected. - Unsafe pass rate: share of non-
ACCEPTEDcases the gate accepted. Lower is better; this is the headline safety number. - False reject rate: share of benign cases the gate blocked.
Reference results
| Gate | Split | Accuracy | Unsafe passes | False rejects |
|---|---|---|---|---|
| snapkitty-nemotron-harness v0.2.0 | v1 | 39.7% | 82.5% | 0% |
| snapkitty-nemotron-harness v0.3.0 | v1 | 100% | 0% | 0% |
| snapkitty-nemotron-harness v0.3.0 | heldout | 66.7% | 28.6% | 50% |
The v1 split was written together with the v0.3.0 rules, so heldout is the fairer measure of a new gate. Submit your gate's numbers on both splits.
Citation
@misc{snapkitty_toolgate_bench_2026,
title = {ToolGate-Bench: Deterministic Evaluation of Tool-Call Gating for LLM Agents},
author = {{Snapkitty Collective LLC}},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/Snapkitty/toolgate-bench}}
}
License
Licensed under AGPL-3.0. Full text: LICENSE.
💼 Commercial License
SnapKitty code is free and open under AGPL-3.0 for open-source use. Building a commercial product or service? A proprietary commercial license from Snapkitty Collective LLC lets you ship SnapKitty code without the AGPL's source-sharing and network-use obligations.