Unverified50% confidenceOpinionExact time
The author believes the real risk of LLM agents lies not in whether a chain returns the wrong words, but in how retrieved text and intermediate tool results alter subsequent tool-calling behavior.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn LLM agent systems involving retrieval-augmented generation (RAG), tool calling, and multi-step reasoning, a single minor prompt modification can cause a previously exposed risk path to disappear.69% 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67% similarUnverifiedLLM幻觉问题源于模型基于概率预测生成文本而非检索真实数据，在涉及具体统计数字、引文来源和法律条款时尤为危险66% similarUnverified下游用户对模型的二次微调可能意外破坏原有安全特性65% similarUnverifiedIf the deployment platform's parser cannot correctly recognize tool call tokens and treats them as plain text, the model will enter a waiting state and continuously repeat its reasoning, forming a dead loop.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/899756API
curl https://kongchang.com/api/v1/knowledge/claims/899756MCP
get_claim(id=899756)