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Vagaro: List waitlist

vagaro_list_waitlist
Read-only

Vagaro: Clients on the waitlist with the service, provider and day they want. Returns the waitlist of one location. Each entry has the client, the service and provider they asked for and the day. Use entry IDs in notify_waitlist. Which alerts Vagaro sends on its own depends on your waitlist mode under Online Appointment Rules. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOnly entries for this day.
location_idNoLocation ID from list_locations. Default: your main location.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description usefully adds the auth prerequisite (a Cotlet API key with access to this app) and a caveat that Vagaro's own alert behavior depends on the account's waitlist mode under Online Appointment Rules — context annotations cannot convey.

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

Conciseness4/5

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

The return contents are front-loaded and the sentences are short and readable. The waitlist-mode aside and the API-key note are slightly tangential boilerplate, but nothing is redundant enough to be cut wholesale. Efficient overall.

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 only two optional parameters, no output schema and read-only annotations, the description covers the essentials: what is returned, the location scope, the day filter, the auth requirement, and the downstream notify_waitlist step. An agent has enough to invoke it correctly; only explicit pagination or result-size behavior is absent.

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%; both the date filter and location_id (including the main-location default) are fully documented in the schema. The description reinforces the single-location and single-day scoping but adds no syntax or format detail beyond what the schema already provides, so the baseline of 3 applies.

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?

The description states a specific verb (list) and resource (waitlist), and spells out exactly what each entry contains — client, service, provider and day. It is clear and scoped to one location. It only names notify_waitlist as a downstream consumer rather than explicitly contrasting itself with the sibling vagaro_add_to_waitlist, so sibling differentiation is implicit.

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 (read the waitlist to see who is waiting and what they want) and the description points to a follow-on tool with 'Use entry IDs in notify_waitlist.' However, it never states when to reach for this versus add_to_waitlist or search_availability, nor any when-not conditions. That is adequate-but-implied guidance rather than explicit routing.

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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