Agent Discoverability

TF Rooms

Live room availability, rates, stay quotes and direct booking for the twelve New Leaf Properties motels and extended stays in Twin Falls, Idaho.

View in the Claude registry
Integration details

Description

TF Rooms connects Claude to New Leaf Properties: twelve motels and extended-stay locations in Twin Falls, Idaho. It answers from the properties' own live systems, so availability and prices are current rather than remembered, and it can reserve a room after the guest proves their email address. It has eight tools. Four only read and need no personal details. find_rooms checks all twelve properties for the nights you ask about and says which have a room free. quote_stay gives the full cost of one stay at one property, including Idaho lodging tax, straight from that property's own server, so the figure matches its booking form. get_rates explains the nightly and weekly rates and the rules for a stay, such as the minimum stay, weekly-only studios and the 30-day cap. list_properties gives names, addresses, phone numbers, room types and booking links. Four handle a reservation. start_booking takes the stay plus the guest's name, email and phone and emails a six-digit code; it holds nothing. confirm_booking checks that code and only then holds a room, as a reservation staff confirm in writing within 24 hours. get_booking reads a reservation's status using its number and the last four digits of the phone. cancel_booking cancels one after a code sent to the email on the reservation. No sign-in is needed. No card or payment is taken: the guest pays at the property, and shows photo ID and signs the guest agreement at check-in. Guest details are used to handle the reservation, as the privacy policy describes. When chat cannot complete a booking, the answer gives the property's own booking page with the stay filled in, or its phone number. Operated by New Leaf Properties, Twin Falls, Idaho.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Travel & Hospitality

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Hotel Search & Booking

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-11-06
Tool count
8
Market
US
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Primary Subcategory
15 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Booking.com83/100
2Brek - Hotel Wholesale Booking70/100
3Otto Travel56/100
4LetsFG | Book the best flights or hotels55/100
5DirectBooker43/100
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—Pilot — Hotel Search & BookingPending VerificationGet notified
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—Simple Booking IBE MCPPending VerificationGet notified
—SpekboomPending VerificationGet notified
—Stay Cost BrainPending VerificationGet notified
—TF RoomsPending VerificationGet notified
—The Charter DeskPending VerificationGet notified
—TiCATiPending VerificationGet notified
—TravelkingPending VerificationGet notified
—Travellers Group — Regional Australian HotelsPending VerificationGet notified
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—VipioPending VerificationGet notified
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Tools

8 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

TF Rooms Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve TF Rooms's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are TF Rooms alternatives on Claude?

As of 2026-11-07, TF Rooms competes with Booking.com, Brek - Hotel Wholesale Booking, Otto Travel, LetsFG | Book the best flights or hotels, DirectBooker, AUTONOMAD, Wyndham Hotels and Resorts, Tripadvisor and 60 more in Claude Hotel Search & Booking, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.