test-time-tool-evolution

name	test-time-tool-evolution
title	Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.07641
keywords	["scientific-reasoning","tool-synthesis","test-time-adaptation","code-generation","dynamic-tools"]
description	Enables agents to synthesize, verify, and evolve executable tools during inference rather than relying on static tool libraries, improving reasoning on heterogeneous scientific domains through dynamic tool adaptation.

Overview

Instead of depending on pre-configured tool libraries, enable agents to dynamically create and refine computational tools at inference time. This approach transforms tools from fixed resources into problem-driven solutions that adapt to domain-specific requirements.

When to Use

• For scientific reasoning tasks in heterogeneous domains (physics, chemistry, mathematics, biology)
• When domain-specific tools don't exist or are incomplete
• When tool requirements vary significantly based on problem specifics
• For cross-domain adaptation where tools need modification between problems

When NOT to Use

• For domains with well-established, comprehensive tool libraries
• When tool synthesis latency is unacceptable (code generation takes time)
• For security-critical applications where tool verification is difficult
• In environments where code execution is restricted

Key Technical Components

Tool Synthesis Agent

Design an LLM-based agent that generates executable Python tools on-demand.

# Tool synthesis from problem description
def synthesize_tool(problem_description, domain_context=""):
    """Generate Python code for solving specific problem"""
    prompt = f"""
    Create a Python function that solves this {domain_context} problem:
    {problem_description}

    Requirements:
    - Function should be self-contained
    - Include input validation
    - Return clear results
    """
    return llm_generate_code(prompt)

Tool Verification Framework

Implement verification that checks tool correctness before execution.

# Multi-stage tool verification
class ToolVerifier:
    def verify_tool(self, code, test_cases):
        """Verify tool safety and correctness"""
        # Stage 1: Syntax validation
        try:
            compile(code, , )
         SyntaxError:
             , 

        
         inputs, expected_output  test_cases:
            result = execute_with_timeout(code, inputs, timeout=)
             result != expected_output:
                 , 

         ,