tool-search-tool

 * **Context bloat:** A typical multiserver setup (GitHub, Slack, Sentry, Grafana, and Splunk) can consume \~55k tokens in definitions before Claude does any work. Tool search typically reduces this by over 85 percent, loading only the 3–5 tools Claude needs for a given request.
 * **Tool selection accuracy:** Claude's ability to pick the right tool degrades once you exceed 30–50 available tools. Because tool search loads only a focused set of relevant tools on demand, selection accuracy stays high even across thousands of tools.
 
-Tool search is generally available on the Claude API. For supported models, see [Model compatibility](https://platform.claude.com/docs/en/agents-and-tools/tool-use/tool-search-tool#model-compatibility).
+For the models that support tool search, see [Model compatibility](https://platform.claude.com/docs/en/agents-and-tools/tool-use/tool-search-tool#model-compatibility).
 
 <Tip>
   For background on the scaling challenges that tool search solves, see [Advanced tool use](https://www.anthropic.com/engineering/advanced-tool-use). Tool search's on-demand loading is also an instance of the broader just-in-time retrieval principle described in [Effective context engineering](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents).

 <CodeGroup>
   ```bash cURL
   curl https://api.anthropic.com/v1/messages \
-      --header "x-api-key: $ANTHROPIC_API_KEY" \
-      --header "anthropic-version: 2023-06-01" \
-      --header "content-type: application/json" \
-      --data '{
+      -H "x-api-key: $ANTHROPIC_API_KEY" \
+      -H "anthropic-version: 2023-06-01" \
+      -H "content-type: application/json" \
+      -d '{
           "model": "claude-opus-5",
           "max_tokens": 2048,
           "messages": [