Unverified60% confidenceFactExact time
MCP's working mechanism requires injecting a large amount of context information into model inputs, resulting in excessive token consumption.
2
Sources
60%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Hermes Agent for Kubernetes Cluster Management: AIOps Tool Selection and Cost Analysis
bilibili凉也要学AI7/9/2026
Related Claims
UnverifiedEach MCP Server often injects a tool schema at session startup; the more Servers attached to a session, the more tools the model has to weigh at each decision, which both increases token consumption and easily causes confusion in tool selection.77% similarUnverifiedThe specificity of prompts directly affects MCP's willingness to make calls; the more specific the problem description, the more reliably it triggers the corresponding service.75% similarUnverifiedMCP servers influence model behavior at two moments—through tool description text and through call return values—and both become attack surfaces.74% similarVerifiedAt the tool layer, using large models with Function Calling or the MCP protocol to handle complex requests can only serve as a fallback and cannot carry the main traffic; otherwise, costs will severely overrun as user volume grows.74% similarUnverified每个MCP工具的定义描述、参数schema、使用示例等加在一起可能消耗数百乃至数千token74% similar
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