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Totebot Documentation

docs.totebot.ai · visit site →

Probe-verified · tier 2 · checked 23 Aug 2026

Documentation for Totebot, an AI agent that supports sales and customer service by integrating with websites and communication channels.

ai agent documentationvia mintlifyai agentcustomer supportsaleschatbot

What we tested

Probed live on 23 Aug 2026 against rubric v1. 4 of 5 checks passed.

PROBE-VERIFIEDtier 2 of 3
Markdown negotiationAccept: text/markdown
Markdown twin at a predictable URL/page.md
llms.txt/llms.txt
API catalogRFC 9727
MCP server answers/.well-known/mcp/server-card.json → tools/list

What its MCP server offers

We connected, ran tools/list, and recorded what came back on 23 Aug 2026. 3 tools, served from totebot.main-kill-isr.mintlify.me — the standard set for sites on mintlify.

search_totebot_documentationquery_docs_filesystem_totebot_documentationsubmit_feedback

What an agent could do here

Read from the page’s own content, with the wording each was drawn from. Inference is kept separate from tested facts — an agent completing the action is tier 3.

UNVERIFIED
read“Fetch the complete documentation index at: https://docs.totebot.ai/llms.txt”
https://docs.totebot.ai/llms.txt

Context

5 sites in the index share the category ai agent documentation, of which 1 are transactional.

How we grade

Three tiers. Every listing shows which one it has reached, and when. The rubric.

tier 1
Declared
The site says agents are welcome in its robots.txt. A permission, not a capability.
tier 2
Probe-verified
We fetched the site and tested each signal ourselves. Dated, repeatable, re-checked on a schedule.
this site · 23 Aug 2026
tier 3
Behaviourally verified
An agent completed the action end to end — booked, bought, submitted — and it worked.
coming
Own this site?

1 check did not pass when we last looked: API catalog. Each is a small, specific fix; the rubric says exactly what we look for.

Behavioural verification — an agent completing your booking, purchase or contact flow end to end, with the date published here — opens to a small founding cohort first. Leave an email to be in it.

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Record generated from a live database query. Method: about the index.