crewAI/docs/edge/en/tools/automation/waittool.mdx

---
title: Wait Tool
description: The `WaitTool` lets an agent pause before checking a long-running job again.
icon: hourglass-half
mode: "wide"
---

## Overview

The `WaitTool` pauses execution for a given number of seconds. It exists because agents that
kick off long-running work — a sandbox build, a deployment, a batch import, an async API job —
otherwise have no way to let time pass. Without it, an agent either polls in a tight loop or
gives up before the work finishes.

The tool takes no API key and has no dependencies beyond the standard library.

## When to Use It

The tool's description tells the model to reach for it when out-of-band work needs real time
to progress:

- A sandbox build, test run, or script that is still executing
- A deployment or provisioning step that is still rolling out
- A batch import, export, or training job
- An async API that returned a job id to poll later
- A rate limit or backoff that has to cool down before retrying

The pattern the model is steered toward is: start the job, wait, check status, wait again if it
is still running. The description also tells it *not* to wait to pace a conversation or when the
information it needs is already available — waiting only lets clock time pass, it does not
advance or check the job.

## Installation

The tool ships with `crewai-tools`:

```shell
uv add crewai-tools
```

## Example

```python Code
from crewai import Agent, Crew, Task
from crewai.tools import tool
from crewai_tools import WaitTool

wait_tool = WaitTool()


@tool("Check build status")
def check_build_status_tool(build_id: str) -> str:
    """Return the current status of a build: queued, running, passed, or failed."""
    # Replace this with a call to your own build system.
    return my_ci_client.get_build(build_id).status


build_agent = Agent(
    role="Build Monitor",
    goal="Start the build and report its final status",
    backstory="An engineer who knows that builds take time.",
    tools=[wait_tool, check_build_status_tool],
    verbose=True,
)

monitor_task = Task(
    description=(
        "Start the build, then wait and re-check its status until it finishes."
    ),
    expected_output="The final build status.",
    agent=build_agent,
)

crew = Crew(agents=[build_agent], tasks=[monitor_task])
result = crew.kickoff()
```

## Arguments

| Argument  | Type    | Required | Description                                                                    |
| :-------- | :------ | :------- | :----------------------------------------------------------------------------- |
| `seconds` | `float` | ✅        | How many seconds to wait. Must be zero or greater.                             |
| `reason`  | `str`   | ❌        | Optional note on what is being waited for. Echoed back in the tool's result.   |

## Initialization Parameters

| Parameter     | Type    | Default | Description                                                                          |
| :------------ | :------ | :------ | :----------------------------------------------------------------------------------- |
| `max_seconds` | `float` | `300`   | Upper bound for a single wait. Longer requests are capped to this value, not rejected. |

## Capping Long Waits

A single call waits at most `max_seconds`. If an agent asks for more, the tool waits the
maximum and says so in its result, so the agent can call it again rather than fail:

```python Code
wait_tool = WaitTool()
wait_tool.run(seconds=3600)
# 'Waited 300 seconds. Requested 3600 seconds, capped at 300 seconds per call -
#  call this tool again if more waiting is needed.'
```

Raise the cap when a workflow genuinely needs longer single pauses:

```python Code
wait_tool = WaitTool(max_seconds=1800)
```

## Async Support

The tool implements both sync and async execution, so it does not block the event loop when
awaited:

```python Code
import asyncio


async def main():
    result = await wait_tool.arun(seconds=30, reason="waiting for the sandbox build")
    print(result)


asyncio.run(main())
```