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For tools that take significant time (deployments, data processing), use LongRunningFunctionTool. It instructs the LLM not to re-invoke the tool while pending: 
from langchain_adk.tools import LongRunningFunctionTool

async def deploy_service(env: str) -> str:
    """Deploy the service to the given environment."""
    await some_long_operation(env)
    return f"Deployed to {env}"

tool = LongRunningFunctionTool(deploy_service)
agent = LlmAgent(name="deployer", llm=llm, tools=[tool.as_tool()])
The tool description is automatically appended with:
NOTE: This is a long-running operation. Do not call this tool again if it has already returned some intermediate or pending status.