> For the complete documentation index, see [llms.txt](https://docs.ox.security/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ox.security/api-documentation/api-reference/api--cloud-security/types/objects/cloud-tool.md).

# cloudTool

Tool an AI agent can invoke at inference time.

### Examples

```graphql
type CloudTool {
  name: String
  type: String
  target: String
  where: String
  matched: String
  args: [String]
}
```

### Fields

| Field            | Description                                                         | Supported fields |
| ---------------- | ------------------------------------------------------------------- | ---------------- |
| name `String`    | Name of the tool.                                                   |                  |
| type `String`    | Category of the tool.                                               |                  |
| target `String`  | Resource the tool points to. Empty for inline capabilities.         |                  |
| where `String`   | Provenance of the detection.                                        |                  |
| matched `String` | Literal source string when the detection provenance is not the API. |                  |
| args `[String]`  | Names of the tool arguments.                                        |                  |

### References

#### Fields with this object:

* [{} CloudItem.tools](/api-documentation/api-reference/api--cloud-security/types/objects/cloud-item.md)


---

# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.ox.security/api-documentation/api-reference/api--cloud-security/types/objects/cloud-tool.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.