# Update Entity Type — Google Dialogflow

> Updates an Entity Type, See REST docs and client API docs

- Key: `google_dialogflow-update-entity-type`
- Type: Action (Write)
- Version: 1.0.1
- App: Google Dialogflow (`google_dialogflow`) — https://pipedream.com/apps/google-dialogflow.md
- This page (HTML): https://pipedream.com/apps/google-dialogflow/actions/update-entity-type
- Hints: destructive · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/google_dialogflow/actions/update-entity-type/update-entity-type.mjs

## Description

Updates an Entity Type, [See REST docs](https://cloud.google.com/dialogflow/es/docs/reference/rest/v2/projects.agent.entityTypes/patch) and [client API docs](https://googleapis.dev/nodejs/dialogflow/latest/google.cloud.dialogflow.v2beta1.EntityTypes.html#updateEntityType2)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `entityTypeId` | `string` | Yes | Existing entity type ID Options are loaded from the connected account. |
| `displayName` | `string` | No | Display name of the entity type |
| `entityTypeKind` | `string` | Yes | EntityType kind, See |
| `autoExpansionMode` | `string` | No | EntityType auto expansion mode, See |
| `entities` | `string[]` | No | Provide an array with IEntity objects, e.g. {"value":"cat", "synonyms":["kitten", "kitty"]} See client API docs |
| `enableFuzzyExtraction` | `boolean` | No | Enable fuzzy extraction flag |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "google_dialogflow",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "google_dialogflow-update-entity-type",
  arguments: {
    entityTypeId: "Entity Type ID",
    displayName: "Display Name",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "google_dialogflow-update-entity-type",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    google_dialogflow: { authProvisionId: "apn_xxxxxxx" },
    entityTypeId: "Entity Type ID",
    displayName: "Display Name",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "google_dialogflow-update-entity-type",
    "configured_props": {
      "google_dialogflow": { "authProvisionId": "apn_xxxxxxx" },
      "entityTypeId": "Entity Type ID",
      "displayName": "Display Name"
    }
  }'
```

---

- App: https://pipedream.com/apps/google-dialogflow.md · All apps: https://pipedream.com/apps