Unverified50% confidenceOpinionExact time
Many large-model-based tools are difficult to deploy due to unstable outputs.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/10/2026
First Seen
Valid until: 1/8/2027
Sources
Related Entities
Related Claims
UnverifiedWhen using a large model as the sole central scheduler to coordinate multiple MCP tools, if the number of tool calls is too large, the model is prone to scheduling confusion, resulting in poor stability and weak scalability.77% similarUnverifiedFor models that do not support tool calling, it is generally necessary to simulate tool-calling behavior through carefully designed prompts, though stability and accuracy will decline noticeably.75% similarUnverifiedFrequent model version updates can introduce behavioral inconsistencies and output drift, posing challenges for production environments that depend on stable outputs.75% similarUnverified工具过于细粒度会导致规划步骤爆炸，工具过于粗粒度则会牺牲灵活性，这是Agent系统设计中最常见的权衡问题之一74% similarUnverifiedWhen a conversation goes deep into thousands of messages and accumulates more than 2,000 tool calls, a single small tool call error can cause the model's output quality to completely collapse73% similar
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