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checkfront

Change a booking's status

checkfront_update_booking_status
Destructive

Set a booking's status — e.g. confirm a pending booking (PAID/PART), put it on HOLD or WAIT(list), or cancel it (VOID/STOP). Reversible: set it back to the previous status the same way. Does NOT record a payment. Optionally triggers the account's customer notifications. Checkfront: POST /api/3.0/booking/{booking_id}/update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notifyNoSend the account's notifications for this change (default false).
status_idYesThe new status code. Defaults: PEND, HOLD, PART, PAID, WAIT, STOP, VOID (plus any custom statuses in Manage > Layout > Statuses).
booking_idYesThe booking code identifying the booking, e.g. CFPP-290317.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only declare destructiveHint=true, so the description carries most of the load and does it well: it discloses reversibility ('set it back to the previous status the same way'), the absence of a payment side effect, and the optional customer-notification trigger. It stops short of stating whether a VOID/STOP cancel has other irreversible consequences (refunds, inventory release), which would complete the destructive profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action and its outcomes, then reversibility and exclusions, then the API reference. Dense and nearly waste-free; the trailing endpoint string is the only element that could be trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-parameter mutation tool with no output schema, it covers the mutation outcome, reversibility, side effects, and the no-payment constraint. The remaining gap is what happens to dependent state (payments, inventory, notifications already sent) on cancellation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds real semantic grouping by mapping intent phrases to codes (PAID/PART = confirm, HOLD/WAIT = park, VOID/STOP = cancel), which the schema's flat code list does not. It also surfaces the notification side effect tied to the 'notify' parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Set) and resource (a booking's status), then enumerates the concrete outcomes (confirm, hold/waitlist, cancel) with the status codes that produce them. It also explicitly scopes out adjacent behavior ('Does NOT record a payment'), which separates it from the booking-creation and payment-adjacent siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete situations for use (confirm a pending booking, put it on HOLD/WAIT, cancel it) and an explicit exclusion (does not record a payment), plus the reversibility path. It stops short of naming a sibling alternative, but the intent-to-status mapping is clear enough for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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