Skip to main content
Glama

create_booking

Book Wanaka Haus: atomically holds the dates for 30 minutes and returns a Stripe Checkout URL. The booking confirms only when payment completes on that URL — give it to your user to pay (or pay with an agent wallet's one-time card). No account or API key needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
guestsYes
check_inYesYYYY-MM-DD
check_outYesYYYY-MM-DD
guest_nameYesThe guest's full name
guest_emailYesThe guest's real email — confirmation and door code go here, and it is required to cancel

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the atomic hold for 30 minutes, the return of a Stripe Checkout URL, and that confirmation occurs only after payment. It also notes that no account or API key is needed.

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

Conciseness5/5

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

The description is two sentences, efficiently conveying purpose, behavior, and usage. Every sentence adds value with no redundancy.

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?

Given the tool's complexity (booking with payment integration), the description covers key aspects: hold duration, checkout URL, payment requirement, and autonomy. No output schema exists, but the description explains the return value. The omission of cancellation or failure handling is acceptable.

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

Parameters3/5

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

The description does not add significant meaning beyond the input schema. Schema covers 4 of 6 parameters with descriptions; the description refrains from elaborating further. The overall process is clear, but parameter-level guidance is minimal.

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?

The description clearly states the tool's purpose: to book Wanaka Haus by atomically holding dates and returning a Stripe Checkout URL. It distinguishes itself from sibling tools like search_availability and cancel_booking by focusing on the booking action.

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?

The description explains when to use the tool (to create a booking) and provides guidance on the next steps (give URL to user for payment or use agent wallet). It does not explicitly state when not to use it, but the context is clear enough.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: searching availability, getting a quote, creating a booking, checking booking status, and canceling. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., search_availability, create_booking, cancel_booking), making them predictable and easy to understand.

Tool Count5/5

With 5 tools covering the core booking workflow (search, quote, create, status, cancel), the count is well-scoped and appropriate for the server's purpose.

Completeness5/5

The tool surface covers the essential lifecycle of a booking: checking availability, pricing, creation, status retrieval, and cancellation. No obvious gaps for typical booking operations.

Resources