Unverified50% confidenceOpinionExact time
Integrating more tools brings problems such as a higher probability of mis-invocation, increased parsing burden from inconsistent data formats, and network latency and availability fluctuations introduced by external MCP servers.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
AgentCore in Practice: Connecting Custom Tools and MCP Servers to Agents
redditr/deeplearning10/23/2026
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Related Claims
UnverifiedAn MCP server containing 50 tools may make the model perform worse, for reasons including difficulty of selection, context dilution, and distraction of attention.78% similarUnverifiedAnomalies in MCP servers such as repeated calls, invalid retries, timeout retransmissions, or erroneous context injection consume extra tokens and slow Agent responses.78% 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.76% similarUnverifiedIn MCP, the more tools there are, the higher the probability that the model picks the wrong tool.74% similar
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