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 Scholar with Claude Tool Use
This integration lets your Claude Tool Use agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper titles, paper URLs, SERP snippets -- ready for reasoning and decision-making.
Setup
Bash
pip install anthropic requestsCode Example
Here is a complete Claude Tool Use agent that searches Google Scholar using Scavio:
Python
import anthropic
import json
import os
import requests
# Scavio has no Google Scholar endpoint, so citation counts and author lists are not available. This runs a Google web search - narrow it with site:arxiv.org or filetype:pdf.
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Google Scholar through the Scavio API (POST /api/v2/google)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Query Google Scholar for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=4096,
tools=tools,
messages=[{"role": "user", "content": "retrieval augmented generation 2024"}],
)
for block in response.content:
if block.type == "tool_use":
print(scavio_search(block.input["query"])[:500])
elif block.type == "text":
print(block.text)Full Working Example
A production-ready example with error handling:
Python
import anthropic
import json
import os
import requests
# Scavio has no Google Scholar endpoint, so citation counts and author lists are not available. This runs a Google web search - narrow it with site:arxiv.org or filetype:pdf.
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Google Scholar through the Scavio API (POST /api/v2/google)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Query Google Scholar for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
messages = [{"role": "user", "content": "retrieval augmented generation 2024"}]
response = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
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-4-5", max_tokens=4096, tools=tools, messages=messages
)
print(final.content[0].text)Pricing
Scavio offers a free tier with 50 credits on signup (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.