You can build your own custom tools, but some capabilities are common enough that Anthropic ships them pre-built. You don't write the code. You don't host the sandbox. You just declare the tool, and Anthropic runs it.
Anthropic provides server tools that run on their infrastructure. You don't execute these — Anthropic does. That means you don't need an agent loop for these calls. Claude calls the tools on its own, and the result comes back inside the same response.
The main ones are:
Let's check out some of the big ones in one file: two messages.create calls, one with web search and one with code execution.
import anthropic
client = anthropic.Anthropic()
# Call 1: web search — Anthropic runs the search server-side
search_response = client.messages.create(
model="claude-opus-5",
max_tokens=1024,
tools=[{"type": "web_search_20260209", "name": "web_search"}],
messages=[
{"role": "user", "content": "What is Anthropic's latest model release? Answer in one sentence."}
],
)
for block in search_response.content:
if block.type == "server_tool_use":
print(f"Tool call: {block.name} — {block.input}")
elif block.type == "text":
print(block.text)
# Call 2: code execution — Claude writes and runs Python in a sandbox
code_response = client.messages.create(
model="claude-opus-5",
max_tokens=1024,
tools=[{"type": "code_execution_20260120", "name": "code_execution"}],
messages=[
{"role": "user", "content": "Calculate the mean and standard deviation of [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"}
],
)
for block in code_response.content:
if block.type == "server_tool_use":
print(f"Tool call: {block.name} — {block.input}")
elif block.type == "bash_code_execution_tool_result":
print(f"stdout: {block.content.stdout}")
elif block.type == "text":
print(block.text)
Two things to notice:
stop_reason. We don't push tool results back. Anthropic runs the tool server-side, and the response already contains the result.Iniciar sesión unirse a la discusión
server_tool_use block for the tool call, a code execution tool result block for the output, plus the regular text blocks.For web search, you'll see Claude's tool call printed, then a one-sentence answer about the latest model release with the search citations folded in.
For code execution, you'll see the actual Python Claude wrote, the stdout from the sandbox running it, and a final text answer.
We didn't have to spin up a search crawler. We didn't run a Python sandbox. We declared two tools and got both for free.
Worth knowing the other category exists. Client tools run where your code runs. Anthropic publishes their schemas and trains Claude on them, so you don't have to define the schema yourself. Two examples:
They have the same shape as a custom tool, but the SDK gives you the schema and a sensible runner.
In a production app, this is the shortest path to features that would otherwise take weeks. Web search can power a fact-check endpoint that verifies every numeric and regulatory claim in a draft against the live web.
One reminder, though: just because something is validated on the internet doesn't mean it's true. Always double-check Claude's work.
tools array. Anthropic runs them.server_tool_use and tool result blocks alongside the regular text blocks.