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Paper: Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents


type: paper title: "Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents" authors: Wael Albayaydh, Rui Zhao, Ivan Flechais year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.05775 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-07 updated_at: 2026-07-07 status: queued relevance: high topics:

  • agent-evaluation
  • agent-safety
  • coding-agent
  • embodied-agent
  • multi-agent
  • planning
  • reasoning
  • tool-use methods:

benchmarks:

models:

datasets:

  • cs.AI related_concepts:

collection_score: 23 collection_queries: llm-agent, multi-agent-llm, planning-agent, tool-use

One-line Takeaway

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

Why Collected

  • matched queries: llm-agent, multi-agent-llm, planning-agent, tool-use
  • inferred topics: agent-evaluation, agent-safety, coding-agent, embodied-agent, multi-agent, planning, reasoning, tool-use
  • arXiv categories: cs.AI
  • collection score: 23

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?