Unverified50% confidenceFactExact time
When the number of tools increases and tools with similar names and overlapping functions appear (such as get_x, fetch_x, read_x), the LLM's tool selection becomes unreliable.
1
Sources
50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen multiple tools are semantically similar, the model's tool selection is essentially a multi-class classification problem, and the more candidate classes there are, the higher the misclassification rate.70% similarUnverifiedDynamically adding or removing tool definitions in each request will cause the prefix hash to change, invalidating the cache.69% similarUnverifiedA single point of failure located upstream in the toolchain often affects multiple downstream products in a cascading manner, making the actual scope of affected users far larger than just those directly calling the API.66% similarUnverified工具调用引入了调用顺序、权限验证、数据访问范围等过程性安全因素，这些在最终输出中往往不可见66% similarUnverifiedWhen multiple tools return conflicting data, a hard rule should be added to the system prompt strictly prohibiting the model from synthesizing an answer on its own, requiring it to present the conflicting points to the user as-is.64% similar
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