Why Cosine Similarity Fails to Catch Confusable MCP Tools
Article summary
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MCP (Model Context Protocol) servers expose tool definitions — names, descriptions, JSON schemas — that an LLM agent reads at runtime to decide what to call. When a server declares several tools with overlapping capabilities ( read_file , read_text_file , read_media_file ), agents frequently pick the wrong one or construct invalid arguments. As tool counts grow, catching confusable definitions before deployment becomes a real quality and safety problem. The obvious fix is text similarity:…
1Key Takeaways
- MCP (Model Context Protocol) servers expose tool definitions — names, descriptions, JSON schemas — that an LLM agent reads at runtime to decide what to call.
- When a server declares several tools with overlapping capabilities ( read_file , read_text_file , read_media_file ), agents frequently pick the wrong one or construct invalid arguments.
- As tool counts grow, catching confusable definitions before deployment becomes a real quality and safety problem.
- The obvious fix is text similarity:….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that mCP (Model Context Protocol) servers expose tool definitions — names, descriptions, JSON schemas — that an LLM agent reads at runtime to decide what to call.
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