Unverified50% confidenceTradeoffExact time
The quality of MCP tool descriptions is critically important; vague descriptions cause the LLM to call the wrong tool or use incorrect parameters, and each retry cycle can consume 400 to 1,000 tokens depending on context size.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn the MCP solution, tool definitions consume a large number of tokens upfront, and in long-process regression tests spanning dozens of rounds of operations, the probability of long-chain task interruptions rises significantly.79% similarUnverifiedEvery tool call in MCP must go through serialization, inter-process communication, and deserialization, which causes perceptible latency in scenarios with few tools but high call frequency.73% similarUnverifiedMCP在工具数量增长到数十甚至数百个时，每次对话都需要将所有工具的Schema描述注入上下文，会造成显著的性能瓶颈70% similarUnverifiedAnomalies in MCP servers such as repeated calls, invalid retries, timeout retransmissions, or erroneous context injection consume extra tokens and slow Agent responses.69% similarUnverifiedCommon metric gating indicators include inference latency (P50/P99), error rate, throughput, and output quality metrics67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/976080API
curl https://kongchang.com/api/v1/knowledge/claims/976080MCP
get_claim(id=976080)