| name | search-web |
| description | Search the web for information on a topic. Returns a synthesized summary with citations. Use when you need current information or facts not in training data. |
| args | {"query":"required string — what you want to know (a question, not a search-engine query string)"} |
search-web
Search the web using an LLM with built-in web search (OpenAI GPT-5.6 Luna primary, Claude Sonnet fallback). The LLM performs searches, evaluates results, and returns a single synthesized note with source attribution.
Query guidance
The LLM handles search strategy internally. The query should express what you want to know, not where to search.
Good queries:
"consensus on FSD 14.2.2.4 as a daily driver — wait for 14.3 or use now?""recent developments in constitutional AI, 2025-2026""practical differences between RLHF and DPO for language model alignment"
Bad queries (over-specified sourcing wastes tokens and confuses the search):
"FSD 14.2.2.4 consensus Tesla forums Reddit r/teslamotors official release notes""search arxiv.org and google scholar for constitutional AI papers"
When to use vs fetch-text
search-web — you're looking for information and don't yet have the URL.fetch-text — you have a specific URL and want the complete content.
Required environment
OPENAI_API_KEY (primary) or CLAUDE_API_KEY (fallback). At least one must be set.
Examples
{"thought": "check for recent reports on FSD 14.2", "tool": "search-web", "query": "Tesla FSD 14.2.2.4 consensus daily driver wait or use 2026"}
{"thought": "find current EU climate policy", "tool": "search-web", "query": "EU climate policy mandates 2026 recent changes"}
