Fetching the paper…
Reading the bibliography…
Recent advancements in Large Language Models (LLMs) and the introduction of the Model Context Protocol (MCP) have significantly expanded LLM agents' capability to interact dynamically with external tools and APIs.
The Probabilistic Relevance Framework: BM25 and Beyond, 2009
Stephen Robertson and Hugo Zaragoza · 2009
Earlier work this paper cites.
Api-bank: A comprehensive benchmark for tool-augmented llms, 2023
Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, and Yongbin Li · 2023
Earlier work this paper cites.
Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, and Maosong Sun · 2023
Earlier work this paper cites.
Protip: Progressive tool retrieval improves planning, 2023
Raviteja Anantha, Bortik Bandyopadhyay, Anirudh Kashi, Sayantan Mahinder, Andrew W Hill, and Srinivas Chappidi · 2023
Earlier work this paper cites.
Gorilla: Large language model connected with massive apis, 2023
Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez · 2023
Earlier work this paper cites.
Introducing the model context protocol, 2024
Anthropic · 2024
Earlier work this paper cites.
Re-invoke: Tool invocation rewriting for zero-shot tool retrieval, 2024
Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, Mohammadhossein Bateni, Chen-Yu Lee, and Tomas Pfister · 2024
Earlier work this paper cites.
Function calling, 2024
OpenAI · 2024
Earlier work this paper cites.
Graph retrieval-augmented generation: A survey, 2024
Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, and Siliang Tang · 2024
Earlier work this paper cites.
Anytool: Self-reflective, hierarchical agents for large-scale api calls, 2024
Yu Du, Fangyun Wei, and Hongyang Zhang · 2024
Earlier work this paper cites.
Toolshed: Scale tool-equipped agents with advanced rag-tool fusion and tool knowledge bases, 2024
Elias Lumer, Vamse Kumar Subbiah, James A. Burke, Pradeep Honaganahalli Basavaraju, and Austin Huber · 2024
Earlier work this paper cites.
Seal-tools: Self-instruct tool learning dataset for agent tuning and detailed benchmark, 2024
Mengsong Wu, Tong Zhu, Han Han, Chuanyuan Tan, Xiang Zhang, and Wenliang Chen · 2024
Cited alongside, same era.
Toolrerank: Adaptive and hierarchy-aware reranking for tool retrieval, 2024
Yuanhang Zheng, Peng Li, Wei Liu, Yang Liu, Jian Luan, and Bin Wang · 2024
Cited alongside, same era.
Retrieval-augmented generation for large language models: A survey, 2024
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, and Haofen Wang · 2024
Cited alongside, same era.
Toolace: Winning the points of llm function calling, 2024
Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, and Enhong Chen · 2024
Divide-then-aggregate: An efficient tool learning method via parallel tool invocation, 2025
Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, and Dawei Yin · 2025
Closest in time.
Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, and Chao Zhang · 2025
Closest in time.
Anthropic
Anthropic · 2025
Closest in time.
Meta llama
Meta Platforms · 2025
Closest in time.
Fortune 1000: Annual list of largest american companies, 2025
Investopedia · 2025
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Mcp safety audit: Llms with the model context protocol allow major security exploits, 2025
Brandon Radosevich and John Halloran · 2025
Cited alongside, same era.
Model context protocol (mcp): Landscape, security threats, and future research directions, 2025
Xinyi Hou, Yanjie Zhao, Shenao Wang, and Haoyu Wang · 2025
Cited alongside, same era.
Mcp has a big problem
Volo Builds · 2025
Cited alongside, same era.
Cursor – the ai code editor
Cursor · 2025
Cited alongside, same era.
Cline – ai autonomous coding agent for vs code
Cline · 2025
Cited alongside, same era.
Agentic retrieval-augmented generation: A survey on agentic rag, 2025
Aditi Singh, Abul Ehtesham, Saket Kumar, and Tala Talaei Khoei · 2025
Cited alongside, same era.
Toolshed: Scale tool-equipped agents with advanced rag-tool fusion and tool knowledge bases
Elias Lumer, Vamse Subbiah, James Burke, Pradeep Basavaraju, and Austin Huber
Cited in the paper.
Elias Lumer, Pradeep Honaganahalli Basavaraju, Myles Mason, James A. Burke, and Vamse Kumar Subbiah
Cited in the paper.
Ran Aroussi · 2025
Closest in time.
Fastmcp: The fast, pythonic way to build mcp servers and clients, 2025
jlowin · 2025
Closest in time.
Deepeval: The open-source llm evaluation framework, 2025
Confident AI · 2025
Closest in time.
The "think" tool: Enabling claude to stop and think in complex tool use situations, 2025
Anthropic · 2025
Closest in time.
Announcing the agent2agent protocol (a2a), 2025
Rao Surapaneni, Miku Jha, Michael Vakoc, and Todd Segal · 2025
Closest in time.