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docs: add examples of natural language requests and corresponding tool calls in README
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@@ -310,6 +310,10 @@ Once connected, just ask in plain language. No query syntax needed:
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The server finds 31 datasets, groups them by structural pattern, and returns a clear summary — including series names, years covered, publisher, and format. No CKAN knowledge required.
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The examples below show natural language requests alongside the actual tool call the LLM will generate internally and send to the CKAN portal. You never write these queries yourself — they are shown here **to illustrate how your question gets translated under the hood**.
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### Search datasets (natural language: "search for population datasets")
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```typescript
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> 👏 A shout-out to Comune di Messina and all public administrations that enable the DataStore extension: by doing so, they make their data dramatically easier to query and explore — including through AI tools like this one.
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> 👏 A shout-out to [Comune di Messina](https://dati.comune.messina.it/) and all public administrations that enable the DataStore extension: by doing so, they make their data dramatically easier to query and explore — including through AI tools like this one.
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### DataStore SQL Query (natural language: "count road orders by type")
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