> ## Documentation Index
> Fetch the complete documentation index at: https://gofastmcp.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Choice

> Present clickable options instead of free-text responses

New in version `3.2.0`

`Choice` lets the LLM present a set of options as clickable buttons instead of asking the user to type a response. The selection flows back into the conversation as a message, giving the LLM clean structured input.

![The Choice provider shown in Goose, with four lunch options as clickable buttons](https://mintcdn.com/fastmcp/qxtzRAUiJsjdoWFw/apps/images/app-choice.png?fit=max\&auto=format\&n=qxtzRAUiJsjdoWFw\&q=85\&s=254e3d7ebaca6ec7b24cdccb5caa9999)

```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
from fastmcp import FastMCP
from fastmcp.apps.choice import Choice

mcp = FastMCP("My Server")
mcp.add_provider(Choice())
```

This registers a single tool:

| Tool | Visibility | Purpose |
| - | - | - |
| `choose` | Model | Shows a card with clickable options, sends the selection back as a message |

The LLM calls `choose` with a prompt and a list of options. The user sees a card with one button per option. Clicking one sends a message back into the conversation:

```
"Which deployment strategy?" — I selected: Blue-green
```

> [!NOTE]
>
> This is an advisory interaction, not an enforcement mechanism. The conversation isn't blocked while the card is open — the user can keep typing, and the LLM could proceed without waiting. The tool description instructs the LLM to stop and wait for the "I selected:" response, but for hard enforcement, implement selection logic server-side.

## Configuration

The constructor sets defaults; the LLM can override `title` per-call.

```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
Choice(
    name="Choice",             # App name
    title="Choose an Option",  # Default card heading
    variant="outline",         # Button style for all options
)
```

The LLM provides the options per-call:

```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
choose(
    prompt="What should we have for lunch?",
    options=["Pizza", "Tacos", "Ramen", "Salad"],
    title="The Important Questions",
)
```

## How it works

Each option renders as a full-width button in a vertical stack. When the user clicks one:

1. `SendMessage` pushes the selection into the conversation as a user message
2. `SetState("decided", True)` replaces the buttons with "Response sent."

The tool description instructs the LLM to stop and wait for the "I selected:" message before proceeding with whatever the user chose.


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