Unverified60% confidenceOpinionExact time
Function Calling only addresses the problem of how a model expresses its intent to make a call; it does not standardize how tools are discovered, described, and securely accessed—a gap that MCP fills.
2
Sources
60%
Confidence
Long-term
Relevance
8/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMCP only specifies "how capabilities are described and invoked," not how the model makes decisions, so it solves interface-layer problems rather than an agent's planning and reasoning capabilities.77% similarUnverifiedMCP only specifies "how to expose tools," not "when which tool should be called"—this is precisely the root cause, repeatedly emphasized in the article, of why the implicit operational rules cannot be solved by the protocol.73% similarUnverifiedIf you are only defining a few tool functions in a single application for the model to call, Tool Calling is entirely sufficient, and introducing MCP instead adds complexity.71% similarUnverifiedPlugins and MCP address the problem of enabling models to call external tools and actually get things done, as the model itself can only generate text.71% similarVerifiedMCP and OpenAI's Function Calling serve different roles: Function Calling is a temporary convention at the model level, while MCP is a persistent communication protocol at the application layer.69% similar
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