brainkb_qa_list

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Find a canned question BrainKB can answer, then run it with brainkb_qa_run. Prefer these over writing SPARQL: they are vetted against BrainKB's actual vocabulary. Discovery is two steps, so you never read every query at once: 1. brainkb_qa_list() -> the menu: each category's name, a description of the questions it covers, and how many queries it has. Pick the category whose description matches the user's question. 2. brainkb_qa_list(category="<name>") -> that category's queries. Each has `question` (what it answers), `notes` (when to use it, where parameter values come from, what the results mean), `params` (required ones have no default — ask the user rather than guess) and a working `example`. `search="words"` filters queries by words in their id/question/notes; use it alone to search every category when none of the descriptions fits.