Skip to main content
Glama

List appointments

nookal_list_appointments
Read-onlyIdempotent

List appointments (date, start/end time, status, type, client, practitioner, case, location, arrived / did-not-arrive flags, notes), filtered by date range, location, client, practitioner, type and status. Dates are clinic local. Nookal GraphQL: appointments.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (default 1).
date_toNoAppointments on or before this date, YYYY-MM-DD.
date_fromNoAppointments on or after this date, YYYY-MM-DD.
appt_typesNoAppointment kinds, e.g. ["Consultation"] or ["Class"].
client_idsNoOnly these clients (patients) (numeric Nookal ids, up to 100).
modified_toNoOnly appointments created/updated before this (YYYY-MM-DD or YYYY-MM-DD HH:MM:SS).
page_lengthNoItems per page, 1-100 (default 50).
location_idsNoOnly these locations (numeric Nookal ids, up to 100).
provider_idsNoOnly these practitioners (staff ids) (numeric Nookal ids, up to 100).
appt_statusesNoStatuses as Nookal names them, e.g. ["Completed"], ["Cancelled"], ["DNA"] (did not arrive), ["Pending"].
modified_fromNoOnly appointments created/updated after this (YYYY-MM-DD or YYYY-MM-DD HH:MM:SS).
appointment_idsNoOnly these appointments (numeric Nookal ids, up to 100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and openWorld, so safety is covered. The description adds genuinely useful behavior context ('Dates are clinic local', GraphQL backing), but says nothing about result-set size, rate limiting, or the behavior of an unfiltered call.

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 tool's core action is front-loaded and the long parenthetical field list carries real information. The trailing fragment 'Nookal GraphQL: appointments.' is cryptic and contributes little, keeping it from a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the returned-field enumeration usefully substitutes for one, and the timezone note is valuable. However, for a 12-parameter tool with no required parameters, the description never explains default scope or paging behavior, which an agent needs before making an unfiltered call.

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 every parameter is already documented and the baseline is 3. The description's filter list maps loosely onto the schema (client, practitioner, type, status) but adds no format or constraint detail beyond what the schema already provides.

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 gives a specific verb+resource ('List appointments'), enumerates the fields returned, and names the filter axes (date range, location, client, practitioner, type, status). It is unambiguous what the tool does, though it does not explicitly contrast itself with nearby siblings such as nookal_get_availability.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is provided, and no alternative tool is named. The most important usage fact for a tool with zero required parameters — whether an unfiltered call returns every appointment in the clinic — is left unstated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.