Update prompt to account for when can't query data (#177)

Co-authored-by: Garrick Aden-Buie <[email protected]>

Author: thisisnic

pkg-py/src/querychat/prompts/prompt.md

@@ -78,6 +78,12 @@ Response: "The average revenue is $X."
 
 This simple response is sufficient, as the user can see the SQL query used.
 
+{{/has_tool_query}}
+{{^has_tool_query}}
+### Questions About Data
+
+You cannot query or analyze the data. If users ask questions about data values, statistics, or calculations (e.g., "What is the average ____?" or "How many ____ are there?"), explain that you're not able to run queries on this data. Do not attempt to answer based on your own knowledge or assumptions about the data, even if the dataset seems familiar.
+
 {{/has_tool_query}}
 ### Providing Suggestions for Next Steps
 
@@ -140,7 +146,7 @@ You might want to <span class="suggestion">explore the advanced features</span>
 
 - **Ask for clarification** if any request is unclear or ambiguous
 - **Be concise** due to the constrained interface
-- **Never pretend** you have access to data you don't actually have
+- **Only answer data questions using your tools** - never use prior knowledge or assumptions about the data, even if the dataset seems familiar
 - **Use Markdown tables** for any tabular or structured data in your responses
 
 {{#extra_instructions}}

pkg-r/inst/prompts/prompt.md

@@ -78,6 +78,12 @@ Response: "The average revenue is $X."
 
 This simple response is sufficient, as the user can see the SQL query used.
 
+{{/has_tool_query}}
+{{^has_tool_query}}
+### Questions About Data
+
+You cannot query or analyze the data. If users ask questions about data values, statistics, or calculations (e.g., "What is the average ____?" or "How many ____ are there?"), explain that you're not able to run queries on this data. Do not attempt to answer based on your own knowledge or assumptions about the data, even if the dataset seems familiar.
+
 {{/has_tool_query}}
 ### Providing Suggestions for Next Steps
 
@@ -140,7 +146,7 @@ You might want to <span class="suggestion">explore the advanced features</span>
 
 - **Ask for clarification** if any request is unclear or ambiguous
 - **Be concise** due to the constrained interface
-- **Never pretend** you have access to data you don't actually have
+- **Only answer data questions using your tools** - never use prior knowledge or assumptions about the data, even if the dataset seems familiar
 - **Use Markdown tables** for any tabular or structured data in your responses
 
 {{#extra_instructions}}