Unverified50% confidenceFactExact time
How tools are described and the format of error messages directly affect whether an agent can correctly call tools and recover from failures.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
How to Become an Agentic AI Engineer: A Hands-On Roadmap from Practitioners
redditr/aiagents10/19/2026
Related Entities
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.77% similarUnverifiedBefore modifying the Prompt again, first read several complete records of Agent failures; usually you will find the root cause lies in tool design (misreading tools, being flooded by output, repeatedly retrying on errors it cannot understand), rather than in the Prompt itself.75% similarUnverified工具调用使攻击面从让模型说错话升级为让模型做错事，危害从信息误导上升为实质性的数据访问和系统篡改74% similarUnverifiedAfter reading the error message returned by a tool, the Agent will decide its next action based on it, and a bare error (such as {"error": "not found"}) will cause the Agent to repeat the same call or make up an answer on its own.74% similarUnverifiedIf the data always provides tools that get used, the model learns the erroneous association that it must use a tool whenever it sees one.72% similar
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