Unverified50% confidenceFactExact time
In an Agent loop, the return values of MCP tools feed directly into the next round of LLM context, so the volume of their output has a direct impact on token consumption.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
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Related Claims
UnverifiedHaving MCP tools return small, structured error objects rather than full data streams can improve token efficiency in Agent loops.74% similarUnverifiedMCP's working mechanism requires injecting a large amount of context information into model inputs, resulting in excessive token consumption.72% similarVerifiedWhen each MCP is loaded, its tool descriptions are stuffed into the context; attaching a large number of MCPs to an Agent without restricting Tools will cause token explosion, increased latency, and rising costs.71% similarUnverifiedMCP's Resource mechanism allows Agents to continuously access loaded data context across multi-turn analytical conversations.68% similarUnverifiedMCP defines a standard response mechanism for errors occurring during tool calls.66% similar
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