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List events (seasons, specials, closures, discounts)

checkfront_list_events
Read-only

List the date-based events that change price or availability — seasonal rates (SE), specials (SP), discounts (DC), closures (status U) — with their dates, recurrence, pricing rule and the items/categories they apply to. Checkfront: GET /api/3.0/event.

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

A4/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the description's main added value is naming the returned fields (dates, recurrence, pricing rule, items/categories). It does not disclose pagination, result size, or auth scoping. With annotations covering the safety profile, a 3 is appropriate.

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?

Two tight sentences, front-loaded with the definition and event taxonomy, followed by the API endpoint mapping. No filler; every clause carries content.

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 parameterless read-only list with no output schema, the description carries nearly the full burden and does describe the returned record shape (dates, recurrence, pricing rule, applicable items/categories). It stops short of describing pagination or response envelope details, leaving a small gap.

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, which is the baseline-4 case. Nothing in the schema needs description coverage, so no compensating prose is required.

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 (List) and resource (date-based events) and then enumerates the exact event categories with their API codes (SE, SP, DC, status U). This distinguishes it from siblings like list_items, list_categories, and get_availability_calendar without opening a schema.

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

Usage Guidelines3/5

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

Usage is implied by the content description — an agent can infer this is the tool for inspecting pricing/availability events — but no explicit when-to-use or when-to-prefer-an-alternative guidance is given. The natural sibling relationship with get_availability_calendar is never addressed.

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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