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---
title: Tools
description: Use tools with AI SDK harnesses.
---
Harnesses have two tool surfaces:
- Built-in tools exposed by the underlying harness runtime, such as file reads,
edits, shell commands, and web search.
- AI SDK tools that you pass to `HarnessAgent` with the `tools` setting.
This page covers harness-specific behavior. For general AI SDK tool concepts,
schemas, tool results, and `tool()` usage, see [Tools](/docs/foundations/tools).
Each adapter declares the built-in tools its runtime can call natively.
`HarnessAgent` merges those built-ins with your host-defined tools and exposes
the combined tool set through `agent.tools`.
```ts
const agent = new HarnessAgent({
harness: claudeCode,
sandbox: createVercelSandbox({
runtime: 'node24',
ports: [4000],
}),
});
agent.tools.bash;
agent.tools.read;
agent.tools.write;
```
Built-in calls are executed by the harness runtime, not by your application
process. Stream parts use `providerExecuted: true` when the runtime already
performed the call.
Adapters use common names where possible:
- `read`
- `write`
- `edit`
- `bash`
- `grep`
- `glob`
- `webSearch`
Some runtimes also expose native tools without a common cross-harness name.
Those appear under their native names.
Pass AI SDK tools to `HarnessAgent` the same way you do for a `ToolLoopAgent`:
```ts
import { HarnessAgent } from '@ai-sdk/harness/agent';
import { claudeCode } from '@ai-sdk/harness-claude-code';
import { createVercelSandbox } from '@ai-sdk/sandbox-vercel';
import { tool } from 'ai';
import { z } from 'zod';
const weather = tool({
description: 'Get the current temperature for a city.',
inputSchema: z.object({
city: z.string(),
}),
execute: async ({ city }) => {
const temperatures: Record<string, number> = {
Paris: 12,
Tokyo: 18,
Reykjavik: 3,
};
return { city, celsius: temperatures[city] ?? 20 };
},
});
const agent = new HarnessAgent({
harness: claudeCode,
sandbox: createVercelSandbox({
runtime: 'node24',
ports: [4000],
}),
tools: { weather },
});
```
When the harness calls `weather`, `HarnessAgent` executes the tool in your host
process, then submits the result back to the harness runtime.
Use `activeTools` or `inactiveTools` on `HarnessAgent` to control which tools the
harness can call. Both settings accept tool names from the combined tool set:
the built-in tools declared by the harness adapter and the AI SDK tools passed
with `tools`.
`activeTools` is an allowlist:
```ts
const agent = new HarnessAgent({
harness: claudeCode,
sandbox: createVercelSandbox({
runtime: 'node24',
ports: [4000],
}),
tools: { weather },
activeTools: ['weather'],
});
```
`inactiveTools` is a denylist:
```ts
const agent = new HarnessAgent({
harness: claudeCode,
sandbox: createVercelSandbox({
runtime: 'node24',
ports: [4000],
}),
tools: { weather },
inactiveTools: ['bash', 'write'],
});
```
Pass either `activeTools` or `inactiveTools`, not both. The TypeScript settings
type prevents combining them, and `HarnessAgent` also throws at runtime when
both are specified.
For host-executed tools, inactive tools are not passed to the underlying
harness runtime. If the runtime still attempts to call one, `HarnessAgent`
returns an execution-denied tool result.
For built-in tools, support depends on the harness adapter. Some adapters can
filter built-ins natively. Others enforce filtering through their built-in tool
approval mechanism by denying inactive built-in calls before they execute,
without emitting approval request or response stream parts. Adapters that
support neither mechanism throw when you filter built-in tools.
Host-executed tools receive the session sandbox through the same
`experimental_sandbox` execution option used by AI SDK tools elsewhere. The
value is a restricted sandbox session, so tools can read, write, and run
commands without being able to stop the network sandbox or change its network
policy.
```ts
const inspectFile = tool({
description: 'Read a file from the harness workspace.',
inputSchema: z.object({
path: z.string(),
}),
execute: async ({ path }, { experimental_sandbox }) => {
return {
content: await experimental_sandbox?.readTextFile({ path }),
};
},
});
```
Harnesses distinguish built-in tool permissions from host-executed tool
approvals.
Use `permissionMode` for adapter-native built-ins:
```ts
const agent = new HarnessAgent({
harness: pi,
sandbox: createVercelSandbox({ runtime: 'node24' }),
permissionMode: 'allow-edits',
});
```
Available values are:
- `allow-all`: allow built-in reads, edits, and shell commands. This is the
default.
- `allow-edits`: allow reads and edits, but request approval for shell commands
when the adapter supports built-in approvals.
- `allow-reads`: allow reads, but request approval for edits and shell commands
when the adapter supports built-in approvals.
Use `toolApproval` for host-executed tools:
```ts
const agent = new HarnessAgent({
harness: claudeCode,
sandbox: createVercelSandbox({
runtime: 'node24',
ports: [4000],
}),
tools: { weather },
toolApproval: {
weather: 'user-approval',
},
});
```
`toolApproval` accepts the same status values as AI SDK tool approval status
objects: `not-applicable`, `approved`, `user-approval`, and `denied`.
When approval is required, the stream pauses after a `tool-approval-request`.
Continue the same session by sending a tool approval response message. In UI
flows, `useChat` sends those messages for you when you add the approval result.
In direct agent code, pass the approval response as `messages` on the next
`stream()` or `generate()` call.
Most adapters can pause built-in tool calls for approval. Adapters that do not
support it will error if an unsupported tool approval mode is specified.
Host-executed tool approvals are handled by `HarnessAgent`, so they work across
adapters.
Some harness events are not ordinary tool calls. For UI compatibility,
`HarnessAgent` projects them as dynamic, provider-executed tool parts:
- `fileChange`: emitted for opaque workspace file mutations.
- `compaction`: emitted when the runtime compacts context.
Check `part.dynamic` before assuming a tool part belongs to your typed tool set.