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Check DayPass availability

check_availability
Read-only

Check whether a DayPass experience is open/available on a given date. Availability is a live hint — the exact status is re-confirmed at checkout.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesExperience id (dd_id).
dateNoOptional date: YYYY-MM-DD, or a relative term ("today", "tomorrow", "this weekend", "friday"). Defaults to today.
localeNoOptional. User conversation language, e.g. "fr" — used only to localize the returned booking link.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds genuinely non-obvious context beyond them: availability is a 'live hint' whose exact status is re-confirmed at checkout, warning the agent the result may be provisional. It stops short of describing caching or rate-limit behavior.

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 with zero filler; the core purpose is front-loaded and the caveat follows immediately. Every sentence earns its place.

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?

No output schema exists, so the description carries the return-value burden, and it does so partially by framing the answer as a live availability hint re-confirmed at checkout. It does not say what fields the result contains or what an unavailable response looks like, a minor gap for a 3-param read tool.

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?

Schema description coverage is 100%, so the schema already documents the id pattern, the flexible date formats, and the locale purpose. The description adds no parameter-level meaning, which is the expected baseline when the schema does the heavy lifting.

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+resource (check DayPass availability) and a scope qualifier (given date). It is clear what the tool returns, but it does not name or contrast itself with siblings like get_experience or get_quote, so an agent must infer the boundary itself.

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 only implied: the note that status is re-confirmed at checkout suggests this is a pre-booking check, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. get_quote for pricing). Adequate but leaves routing 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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