So far the tools have been read-only (weather, search). The more interesting case is a tool that changes state - placing an order, updating a record, firing an action. The agent has to query state, decide, then mutate it, all in one turn.
This example is an inventory agent: the user asks to buy something, the agent checks stock, then places the order.
A plain PHP class stands in for a real database - an in-memory array of products, with methods to read and write it. This keeps the example runnable with no setup, while behaving exactly like a DB-backed store would.
class ProductDatabase {
private array $products = [
'p1' => ['name' => 'Quantum Laptop', 'price' => 1500, 'stock' => 5],
'p2' => ['name' => 'Nano Phone', 'price' => 800, 'stock' => 0],
'p3' => ['name' => 'AI Headset', 'price' => 300, 'stock' => 12],
];
public function search(string $query): array {
$out = [];
foreach ($this->products as $id => $p) {
if (stripos($p['name'], $query) !== false) $out[$id] = $p;
}
return $out;
}
order() is the mutating half: it validates the product exists and has enough stock before touching anything, then decrements the count and returns a human-readable result.
public function order(string $id, int $qty): string {
if (!isset($this->products[$id])) return "Error: Product not found.";
if ($this->products[$id]['stock'] < $qty) return "Error: Insufficient stock.";
$this->products[$id]['stock'] -= $qty; // <-- the mutation
return "Success: Ordered $qty of {$this->products[$id]['name']}. "
. "New stock: {$this->products[$id]['stock']}";
}
public function getInventory(): array { return $this->products; }
}
$db = new ProductDatabase();
The read tool is a thin wrapper around $db->search() - no logic of its own, just a schema the model can call:
use NanoAgent\Agent;
use NanoAgent\Tools\FunctionTool;
$searchTool = new FunctionTool(
name: 'search_products',
description: 'Search for products by name in the store inventory.',
parameters: [
'type' => 'object',
'properties' => ['query' => ['type' => 'string', 'description' => 'Product name or keyword']],
'required' => ['query'],
'additionalProperties' => false
],
callable: fn(array $args) => $db->search($args['query'])
);
The write tool is the same shape, just pointed at $db->order() instead - the mutation itself lives entirely in the ProductDatabase class, not in the tool:
$orderTool = new FunctionTool(
name: 'place_order',
description: 'Place an order for a specific product by its ID.',
parameters: [
'type' => 'object',
'properties' => [
'product_id' => ['type' => 'string', 'description' => 'The unique product ID'],
'quantity' => ['type' => 'integer', 'description' => 'Units to purchase']
],
'required' => ['product_id', 'quantity'],
'additionalProperties' => false
],
callable: fn(array $args) => $db->order($args['product_id'], $args['quantity'])
);
php
$agent = new Agent(
llm: $llmConfig,
systemPrompt: "You are a retail sales assistant. You have tools 'search_products' and "
. "'place_order'. You MUST use these tools to check availability and place "
. "orders. Do not guess stock levels.",
tools: [$searchTool, $orderTool]
);
$agent->enableActivityLogging();
$response = $agent->chat("I want to buy 2 Quantum Laptops. Check stock and order.");
echo $response;
Check the database afterward and the stock is genuinely lower - this wasn't just a chat reply, the agent actually called place_order and it actually ran:
var_dump($db->getInventory()['p1']['stock']); // 5 -> 3
The "do not guess stock levels" line in the prompt is load-bearing. Without it, a model might answer "yes, we have some" from memory. With it, the agent must call search_products to read the real number, then place_order to act on it.
"Success: Ordered 2... New stock: 3" lets the model reason about the outcome and report it. A bare array gives it less to work with."Error: Insufficient stock." is returned to the model, which can then tell the user "only 0 in stock" instead of your app 500ing.additionalProperties => false`` enableActivityLogging()
Swap ProductDatabase for real persistence and you've got an agent that can read your DB, make a decision, and write back to your DB - the core of most "agentic" business automation (orders, tickets, inventory, bookings). The agent is the decision layer; your PHP functions are the hands.
Part of the NanoAgent examples series. Landing + demos.