Unverified50% confidenceFactExact time
Common issues in agent development include schema drift—where the LLM hallucinates non-existent fields or passes the wrong data types—causing real APIs to return a generic 400 Bad Request.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
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Related Claims
UnverifiedIn Agentic scenarios, sources of error may include prompt design flaws, tool API return formats not matching expectations, information loss during multi-step reasoning, or gaps in the model's domain knowledge.78% similarUnverifiedThird-party APIs typically return only a generic 400 Bad Request with no detail, which provides little help to a model trying to self-correct.71% similarUnverifiedThe approach of having the model assemble requests on its own solely based on API documentation has limitations: it may hallucinate parameters, overlook authentication, handle errors improperly, and requires stuffing complete documentation into the context, causing context bloat, increasing costs, and reducing accuracy.70% similarUnverified切换到推理模型时因服务端严格校验tool_calls参数必须是合法JSON而返回400错误，一条格式错误的消息会毒化整个对话历史导致后续请求全部失败69% similar
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