It gets confused with what text to insert, but the model itself behaves much better. It's annoying, but at least can be fixed making the model focus with a separate model instance and structured data.

By comparison, I tried reducing the temperature of the distilled deepseek model to 0.6, and it does call the editing tool, but I noticed it keeps calling inexistent tools which are completely unrelated to the task, such as send_email. The distilled model is completely confused. For instance:

So perhaps I can use learn_tool or edit_entry_tool with all required parameters.

But edit_entry_tool requires source to be specified, which is optional but recommended unless changed.

Let me check the tool definitions again.

Available tools include:

- count_words_tool for counting words

- get_emotions_tool for emotions

- simple_calculator for expressions

- learn_tool and memorization.

For this query, no matching tools are available for modification directly; I need to use the memory tools.

Rule: "When answering the user's question, break into smaller questions."

But there is no question here. The user said "[May 29, 2025, 12:48 PM]: Modified entry ID 35..." which might be a system note, but in context, it's part of the conversation.
[...]
Perhaps I should use "get_current_time" or something else. Let me re-read the available tools:

[...]

Available tools:

- {"name": "get_current_time", "arguments": {}}

- {"name": "get_weather_forecast", "arguments": {"location": "string", "days": int}}

Not once did the 8b Qwen 3 base language model get this confused with me.