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Acuity Scheduling MCP by usefulapi

List appointments

acuity_list_appointments
Read-only

List appointments scheduled on the account, with optional filters. Acuity REST: GET /appointments.

Input Schema

NameRequiredDescriptionDefault
maxNoMax appointments to return.
emailNoFilter by client email.
maxDateNoOnly appointments on/before this date (YYYY-MM-DD or ISO datetime).
minDateNoOnly appointments on/after this date (YYYY-MM-DD or ISO datetime).
canceledNoIf true, return canceled appointments (default false).
lastNameNoFilter by client last name.
directionNoSort order by datetime. ASC (default) or DESC.
firstNameNoFilter by client first name.
calendarIDNoFilter to a specific calendar id.
appointmentTypeIDNoFilter to a specific appointment type id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read. The description adds the upstream REST mapping, which aids traceability, but says nothing about pagination behavior, the max=1000 cap effect, default sort order, or the shape of returned data. With annotations covering the safety profile, this is adequate but thin.

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?

Two compact sentences with the functional statement front-loaded and no filler. The REST endpoint sentence is marginal value for an agent but takes almost no space, so the text is efficient overall.

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?

For a 10-parameter list tool with no output schema and no annotations beyond readOnly, the description is the minimum viable: it establishes scope and that filters exist, but leaves return shape, pagination, and result-size behavior for the agent to discover.

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% across all 10 parameters, so the schema already documents each filter including formats and defaults. The description adds no parameter-level meaning beyond what the schema 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 and resource ('List appointments scheduled on the account') and even maps it to the REST endpoint GET /appointments. It is clear what the tool does, though it does not explicitly contrast itself with siblings like acuity_get_appointment (single) or the availability tools.

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?

It says filters are optional, implying the tool is the broad listing call, but gives no explicit when-to-use guidance, no when-not-to-use, and never names an alternative such as acuity_get_appointment for a single record. The agent must infer routing from the sibling names alone.

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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