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DaySmart: Get appointment

daysmart_get_appointment
Read-only

DaySmart: Full ticket: services and products with prices, deposit, appointment notes, confirmation type and the Appointment Log. Returns one ticket with services, prices, appointment notes and confirmation type. The Appointment Log lists each change with time, user and status, the same as at the bottom of the ticket in DaySmart. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appointment_idYesAppointment (ticket) ID from list_appointments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly=true, destructive=false, openWorld=true, so the safety profile is covered. The description adds real behavioral value beyond that: the returned Appointment Log structure (each change with time, user, status) and the auth prerequisite (a Cotlet API key with access to this app).

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

Conciseness3/5

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

Front-loaded with the key idea ('Full ticket'), but the first two sentences largely repeat each other — the same field list (services, prices, notes, confirmation type) appears twice, which is wasted space.

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 output schema, the description must carry the return shape, and it does: services, prices, deposit, appointment notes, confirmation type and the Appointment Log. Combined with the annotations and the auth note, an agent has enough to call it correctly; only error/empty-case behavior is unaddressed.

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?

There is exactly one parameter with full schema description coverage ('Appointment (ticket) ID from list_appointments'), so the schema already carries the semantics. The description adds nothing about ID format or lookup beyond what the schema states.

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+resource — retrieving a single appointment 'ticket' — and enumerates the contents (services, prices, deposit, notes, confirmation type, Appointment Log). It is clearly a single-record fetch, but it never names a sibling (e.g. list_appointments or update_appointment) to differentiate itself within the daysmart set.

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 schema note says the ID comes 'from list_appointments', which hints at the list-then-get workflow, but the description itself gives no explicit when-to-use, when-not, or alternative tooling.

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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