get_session_summaries
AI-written narratives of individual sessions — what the visitor did, where they stalled, how it ended — with classified intent, outcome and friction points.
When to use it
For qualitative colour once the quantitative tools have localised a problem. Filter outcome: 'abandoned_cart' to read what abandoners experienced, or gatedBy: 'high_frustration' for the angriest sessions.
Ask for it like this
You do not name the tool. These are questions that make an assistant reach for it:
How to read the result
- topFrictionPoints rolls friction locations up across the window, so "what are visitors struggling with this week" is one call rather than twenty.
- The classified fields make individual sessions aggregable, which raw journeys are not.
What will make you wrong
Caveats
- Coverage is deliberately gated. Only converted, high-frustration or high-engagement sessions are summarised, capped per day and generated nightly. The absence of a summary says nothing about a session.
- Summaries are an overlay. The structured events remain ground truth — verify a surprising claim with get_session_journeys before acting on it.
Parameters
convertedabandoned_cartbouncedleft_no_actionotherbrowsecomparepurchasesupportunknownconvertedhigh_frustrationhigh_engagementShared parameters it accepts
Documented in full on the tool reference index.
Date window — defaults to the last 30 days.
Every tool also accepts merchantId, which resolves from your connection. You never pass it.
What comes back
JSON. These are the top-level keys; date-scoped tools additionally carry a _meta block with the server date and the data coverage envelope.