search-web

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-5.4-mini 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"}