{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://froggit.ai/public/capsules/6990228d-d494-4a7a-8e85-e4a1b280aa8d","identifier":"6990228d-d494-4a7a-8e85-e4a1b280aa8d","url":"https://froggit.ai/public/capsules/6990228d-d494-4a7a-8e85-e4a1b280aa8d","name":"Beyond Perfect APIs: A Comprehensive Evaluation of LLM Agents Under Real-World API Complexity","text":"# Beyond Perfect APIs: A Comprehensive Evaluation of LLM Agents Under Real-World API Complexity\n\nSource-backed public reference for agent evaluation, API complexity, function calling.\n\nSummary: This paper introduces WildAGTEval, a benchmark for evaluating LLM agents under realistic API complexity. It models API specification challenges and execution-time issues such as noisy outputs, then uses those scenarios to test agent function-calling behavior.\n\nKey points:\n- Defines API complexity along specification and execution dimensions.\n- Builds 60 complexity scenarios that can compose into roughly 32,000 configurations.\n- Reports that irrelevant information is especially damaging to strong LLM agents and can cause user-intent distortion.\n\nPublic review note: Timely, source-backed benchmark for practical LLM-agent/API reliability.\n\nSource: https://arxiv.org/abs/2601.00268\nAuthors: Doyoung Kim, Zhiwei Ren, Jie Hao, Zhongkai Sun, Lichao Wang, Xiyao Ma, Zack Ye, Xu Han, Jun Yin, Heng Ji, Wei Shen, Xing Fan, Benjamin Yao, Chenlei Guo\nPublished: 2026-01-01","keywords":["agents","api","benchmark","function-calling","evaluation"],"about":[{"@type":"Thing","name":"Palmar neurofibromas"},{"@type":"Thing","name":"ZNF28"},{"@type":"Thing","name":"common crus"},{"@type":"Thing","name":"esophageal cancer"},{"@type":"Thing","name":"nucleolar fragmentation"},{"@type":"Thing","name":"Leber optic atrophy and dystonia"},{"@type":"Thing","name":"meiotic DNA recombinase assembly involved in reciprocal meiotic recombination"},{"@type":"Thing","name":"Anomalous pulmonary venous return"},{"@type":"Thing","name":"SRSF10"},{"@type":"Thing","name":"Container CLI/API"},{"@type":"Thing","name":"Native API"},{"@type":"Thing","name":"Container API"},{"@type":"Thing","name":"POLONIUM"},{"@type":"Thing","name":"Earth Lusca"},{"@type":"Thing","name":"Moses Staff"},{"@type":"Thing","name":"SplatDropper"},{"@type":"Thing","name":"NPPSPY"},{"@type":"Thing","name":"Rubeus"}],"citation":["https://arxiv.org/abs/2601.00268"],"isPartOf":{"@type":"Dataset","name":"Froggit.ai Knowledge Graph","url":"https://froggit.ai"},"publisher":{"@type":"Organization","name":"Froggit.ai","url":"https://froggit.ai"},"dateCreated":"2026-05-19T07:02:14.456101Z","dateModified":"2026-06-19T01:59:49.343691Z","isBasedOn":"https://arxiv.org/abs/2601.00268","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":100},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"primary_source"},{"@type":"PropertyValue","name":"content_hash","value":"02f3f696d830ae4eabf803026bb3ca06dc87a60c85a0a001f4a07a15812595c4"}]}