A new class of research is emerging where giving models tools for structured thinking, like a scratchpad, greatly improves their reasoning capabilities.

For example, by giving a model a “think” tool, we can greatly improve its reasoning capabilities by providing a dedicated space for working through the problem. This is a simple, yet effective approach to add reasoning to non-reasoning models.

First published by Anthropic in this blog post, this technique has been practiced by many AI Engineers (including our own team) long before it was published.

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v0: The Think Tool

The first version of the Think Tool was published by Anthropic in this blog post.

claude_thinking_tools.py
from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools.thinking import ThinkingTools
from agno.tools.yfinance import YFinanceTools

reasoning_agent = Agent(
    model=Claude(id="claude-3-7-sonnet-latest"),
    tools=[
        ThinkingTools(add_instructions=True),
        YFinanceTools(
            stock_price=True,
            analyst_recommendations=True,
            company_info=True,
            company_news=True,
        ),
    ],
    instructions="Use tables where possible",
    markdown=True,
)

if __name__ == "__main__":
    reasoning_agent.print_response(
        "Write a report on NVDA. Only the report, no other text.",
        stream=True,
        show_full_reasoning=True,
        stream_intermediate_steps=True,
    )

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v1: The Reasoning Tools

While the v0 Think Tool is a great start, it is limited in that it only allows for a thinking space. The v1 Reasoning Tools take this one step further by allowing the Agent to analyze the results of their actions (i.e. tool calls), greatly improving the Agents’ ability to solve problems that require sequential tool calls.

ReasoningTools = think + analyze

claude_reasoning_tools.py
from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools.reasoning import ReasoningTools
from agno.tools.yfinance import YFinanceTools

reasoning_agent = Agent(
    model=Claude(id="claude-3-7-sonnet-20250219"),
    tools=[
        ReasoningTools(add_instructions=True),
        YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True, company_news=True),
    ],
    show_tool_calls=True,
)
reasoning_agent.print_response(
    "Write a report comparing NVDA to TSLA", stream=True, markdown=True
)

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Developer Resources

You can find more examples in the Reasoning Tools Cookbook.