What is Claude Tool Use?
Anthropic's Claude API with tool use for building AI assistants that can call external APIs and functions.
Searching Google with Claude Tool Use
This integration lets your Claude Tool Use agent search Google in real time via the Scavio API. The agent gets back structured JSON with organic results, knowledge graph, People Also Ask, AI overview — ready for reasoning and decision-making.
Setup
Bash
pip install anthropic requestsCode Example
Here is a complete Claude Tool Use agent that searches Google 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/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 Google for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}],
messages=[{"role": "user", "content": "best noise cancelling headphones 2026"}],
)
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/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 Google for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
messages = [{"role": "user", "content": "best noise cancelling headphones 2026"}]
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.