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Get the booking form fields

checkfront_get_booking_form
Read-only

Fetch the customer-details form for a booking (booking_form_ui): every field id (customer_name, customer_email, …), its label, type and whether it is required. Call this before checkfront_create_booking to know which form fields to send. Checkfront: GET /api/3.0/booking/form.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

The readOnlyHint annotation already establishes this is a safe read; the description reinforces it and adds the useful sequencing context (prerequisite for create_booking) plus the shape of the returned data. It does not need auth/rate-limit detail for a zero-parameter read, so this is solid but not exceptional.

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?

Three tight sentences: purpose, payload contents, and the chaining instruction, all front-loaded with zero filler. The API endpoint reference is a compact extra rather than padding.

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

Completeness5/5

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

No output schema exists, so the description must describe return values itself, and it does so concretely (field id, label, type, required flag). Combined with the chaining guidance, an agent has everything needed to call it correctly.

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?

The tool takes zero parameters, so per the baseline the schema carries no semantic burden for the description to compensate for. The description's mention of `form` fields is context for the downstream call rather than a parameter of this tool.

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 and resource ('Fetch the customer-details form for a booking') and describes exactly what the payload contains (field id, label, type, required). It is clearly distinguishable from siblings like checkfront_get_booking or checkfront_create_booking.

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

Usage Guidelines5/5

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

Explicitly instructs 'Call this before checkfront_create_booking to know which `form` fields to send,' naming the sibling and the condition that selects it. Nothing about when to reach for this tool is left to inference.

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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