agent/papers/items/2026-2606-30251-taco-tool-augmented-credit-optimization-for-agentic-tool-use.md

Paper: TACO: Tool-Augmented Credit Optimization for Agentic Tool Use

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type: paper title: "TACO: Tool-Augmented Credit Optimization for Agentic Tool Use" authors: Mingkuan Feng, Jinyang Wu, Hao Gu, Fangrui Lv, Ruihan Jin, Chuyuan Zhang, Zhengqi Wen, Jianhua Tao year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.30251 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-29 updated_at: 2026-06-29 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.MA related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: tool-use

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, computer-use, reasoning, tool-use
• arXiv categories: cs.MA
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.30251