What is Claude Tool Use?
Anthropic's Claude API with tool use for building AI assistants that can call external APIs and functions.
Searching Walmart with Claude Tool Use
This integration lets your Claude Tool Use agent search Walmart in real time via the Scavio API. The agent gets back structured JSON with product listings, prices, ratings, review counts — ready for reasoning and decision-making.
Setup
Bash
pip install anthropic requestsCode Example
Here is a complete Claude Tool Use agent that searches Walmart using Scavio:
Python
import anthropic
import requests
import json
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v1/walmart/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return json.dumps(response.json())
response = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=4096,
tools=[{
"name": "scavio_search",
"description": "Search Walmart for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}],
messages=[{"role": "user", "content": "standing desk"}],
)
for block in response.content:
if block.type == "tool_use":
result = scavio_search(block.input["query"])
print(result[:500])
elif block.type == "text":
print(block.text)Full Working Example
A production-ready example with error handling:
Python
import anthropic
import requests
import json
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v1/walmart/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Search Walmart for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
messages = [{"role": "user", "content": "standing desk"}]
response = client.messages.create(model="claude-sonnet-4-20250514", max_tokens=4096, tools=tools, messages=messages)
# Handle tool use loop
if response.stop_reason == "tool_use":
messages.append({"role": "assistant", "content": response.content})
tool_results = []
for block in response.content:
if block.type == "tool_use":
result = scavio_search(block.input["query"])
tool_results.append({"type": "tool_result", "tool_use_id": block.id, "content": result})
messages.append({"role": "user", "content": tool_results})
final = client.messages.create(model="claude-sonnet-4-20250514", max_tokens=4096, tools=tools, messages=messages)
print(final.content[0].text)Pricing
Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your Claude Tool Use integration. Paid plans start at $30/month for higher volumes.