web-research

name	web-research
description	Findings grounded in live web sources
user-invocable	true

Web research

The user wants findings grounded in current, real sources — not your prior knowledge alone. Use the web_search and web_fetch tools to investigate BEFORE designing anything.

Research process — go wide before you synthesize:

• Run MULTIPLE searches: 4-10 web_search calls, never fewer than 4. One search is not research — it bets everything on your first phrasing. Stop only when new queries stop surfacing new information, even if that takes more than 10.
• Vary the queries: split the ask into concrete sub-questions (specific beats broad) and hit the important ones from several angles — different terms, different source types.
• Pull a LOT of data: web_fetch many results, not just a top hit. Favor the primary sources behind the hits (the paper, the filing, the announcement, the docs — not a blog's summary of them) and extract specifics: numbers, dates, names, direct quotes.
• Cross-check every load-bearing figure across independent sources. When sources disagree, report the disagreement — don't average it away or pick silently.
• Keep the trail: note which source said what as you go, with URLs.

Epistemics in the deliverable:

• Attribute every substantive claim — inline, linked to its source.
• Date what you cite ("as of the 2024 filing…"); stale numbers presented as current are worse than no numbers.
• Separate what sources establish from what you infer, and say which is which. If the evidence is thin or conflicting, the report says so — a confident-sounding gap is the one failure mode to avoid.

Deliverable (unless the user asks for another format): a designed, single-file HTML research report — headline takeaways up top, then findings with their evidence, and a linked source list at the end. Design it like an editorial broadsheet: strong typographic hierarchy, pull quotes for key numbers, charts only where the data earns them.