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checkfront

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. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: what each event record contains (dates, recurrence, pricing rule, and the items/categories it applies to) and the underlying API call. It omits pagination and auth/scope requirements, which keeps it from a 5.

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?

One dense sentence carrying the verb, scope, event taxonomy and return fields, followed by the endpoint reference. Nothing is redundant and the most decision-relevant content (what the events affect) is front-loaded.

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?

With no parameters, trivial schema and no output schema, the description carries the burden of explaining return content and does so well. A minor gap is that it does not signal that the listing is unfiltered/unpaginated (no parameters at all), which an agent might otherwise assume.

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 rubric the baseline is 4. There is nothing parameter-wise for the description to compensate for, and it correctly does not invent filtering options that the schema does not expose.

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

Purpose4/5

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 that change price or availability'), then enumerates the concrete event types (SE, SP, DC, closures) and the endpoint. An agent immediately knows this returns pricing/availability modifiers rather than bookings or items. It does not explicitly name which sibling it is not, so it falls just short of a 5.

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 rather than stated: the description makes clear this is the tool for seasonal rates, specials, discounts and closures, but gives no when-to-use/when-not guidance, no mention of prerequisites, and no routing against alternatives such as checkfront_get_availability_calendar or checkfront_list_items, which are the closest siblings for pricing/availability data.

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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