ChatGPT Plugin

Front Desk

Log shift tickets and notes

Brand: Front Desk

Category: Travel & Hospitality
Primary Subcategory: Field Service Management Software

Integration details

Description

Front Desk is the day-to-day tool hotel teams use to run a shift: report and track maintenance tickets, read and leave shift notes for the next team, and log lost & found items — all from ChatGPT, with the same account and permissions you already have in Front Desk. Every action taken through ChatGPT shows up in Front Desk exactly as if you'd done it there, credited to your name.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Travel & Hospitality
Primary Subcategory: Field Service Management Software
Secondary Subcategories: None listed
Brand: Front Desk
Access: Account required
First tracked: 2026-09-17
Tool count: 16
Market: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

Your score is coming

ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

Sign up to track your Plugin See who ChatGPT suggests

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competing in ChatGPT Field Service Management Software

View Category

Listed in alphabetical order

Primary Subcategory

3montovano CRMComing soonGet notified

A4B CMMSComing soonGet notified

AI Dispatcher by FieldCampComing soonGet notified

BlueSuiteComing soonGet notified

BobiboComing soonGet notified

Front DeskComing soonGet notified

Tools

16 tools agents can invoke

Add a comment to a found item's thread.
comment_lost_found_item
Add a comment to a ticket's thread.
comment_ticket
Add a comment to an instruction's thread.
comment_notebook
Return the establishment and the permissions granted to this connection.
get_frontdesk_context
Record an item found in the establishment, so the desk can hand it back.
create_lost_found_item
Return one lost & found item and its most recent comments.
get_lost_found_details
Return lost & found items, most recently touched first. Filter by state to find what is still waiting to be handed back.
list_lost_found_items
Return one operational instruction and its most recent comments.
get_notebook_details
Return current operational instructions and their activity over a UTC period. Defaults to the last seven days.
get_notebook_report
Report something that needs fixing to the maintenance team.
create_ticket
Return one maintenance ticket and its most recent comments.
get_ticket_details
Return the current maintenance workload and ticket activity over a UTC period. Defaults to the last seven days.
get_ticket_report
Change what is known about a found item, or hand it back, archive it, or put it back in the drawer. Only the fields you pass are touched.
update_lost_found_item
Change a ticket's description, priority, location, due date or label, close it or reopen it. Only the fields you pass are touched.
update_ticket
Change an instruction's text, label or day, mark it done or reopen it, pin or unpin it. Only the fields you pass are touched.
update_notebook
Add an instruction to the logbook, for the team to read on shift.
create_notebook

FAQs

Front Desk ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Front Desk's ChatGPT Plugin 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 Front Desk alternatives on ChatGPT?

As of 2026-11-01, Front Desk competes with 3montovano CRM, A4B CMMS, AI Dispatcher by FieldCamp, BlueSuite, Bobibo, BoltWright, Cabinet Project, CheckpointGuard and 40 more in ChatGPT Field Service Management Software, 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.