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exercises/02.tools/02.solution.args/README.mdx

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@@ -9,6 +9,9 @@ arguments they want to pass to the tool. For example, they could say "add one
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and two" and the tool would automatically parse that into the `firstNumber` and
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`secondNumber` arguments. They could even do it in another language!
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Watch this for more on the idea of overcoming language barriers:
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[Accessibility in AI: How MCP Makes Language Barriers Disappear](https://www.epicai.pro/ai-and-mcp-language-barriers-dbjmj)
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Taking it further, the LLM could derive those arguments from the conversation
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which could include context from other tools. Tools working together to solve a
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complex problem!

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