feat(askai): Aggregate MCP search tool calls#2891
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Up to standards ✅🟢 Issues
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| Metric | Results |
|---|---|
| Complexity | 24 |
| Duplication | 4 |
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LorrisSaintGenez
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Why
When Ask AI runs searches through the Algolia MCP server, each query comes back as a separate
algolia_search_index(oralgolia_search_index_*) tool call. Previously, only the nativesearchIndextool was recognized for aggregation, so MCP-backed searches were rendered as a noisy list of individual tool-call entries instead of being collapsed into a single grouped result. This made multi-query MCP searches harder to scan and inconsistent with how native search is presented.This change teaches the grouping logic to treat MCP search tools as first-class search results so consecutive searches — native or MCP, or a mix of both — are aggregated into one clean entry.
What this enables
searchIndexbehavior.output, MCP on itsinput), and empty/whitespace queries are skipped.algolia_search_indexprefix (e.g.algolia_search_indexer) are intentionally excluded to avoid false grouping.Notes
isSearchToolPart,isSearchOutputPart, etc.) were centralized inutils/ai.tsand removed fromToolCall.tsxto keep the search-tool detection logic in one place.AGENTS.mdwas updated to reflect the current toolchain (Playwright instead of Cypress,--runfor tests).Dependencies
v5after feat(askai): Feedback notes and tags #2890 has been merged