Search items by their name or title: document name, email subject, chat title, channel name, project name, or call-record name. This is keyword search, not semantic search: queries only match literal words/tokens, prefixes, or exact quoted terms that appear in the indexed title/name. Use this for targeted name/title lookup, not for activity-summary questions like “what happened today”, “what’s going on”, “catch me up”, or “what happened in standup today”; those should start with ListEntities using time/type/channel filters. For emails, whitespace-separated terms are ANDed and each is a prefix match against the subject. For all other types the whole query is matched as a single adjacent phrase prefix — so pass 1-3 targeted keywords drawn from words that would literally appear in the title, not the user’s natural-language description; long phrases will not match. Matching defaults to prefix; set matchType to ‘exact’ to match whole tokens/phrases with no prefix expansion. Wrap a multi-word phrase in double quotes to keep it together as one adjacent phrase. If the user’s request combines a person with a topic, run separate searches (NameSearch for the person, ContentSearch for the topic) rather than one combined query. Leave entityTypes empty by default; only filter when the user explicitly scopes to a type. Results for documents, emails, AI chats, projects, and call records include the tags visible to the user as pairs; to restrict a search to tagged items, pass the tag labels in the tags argument (ListTags shows which tags exist).