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IntakeQ MCP by usefulapi

List appointments

intakeq_list_appointments
Read-only

Query appointments by client name/email, date range, status, practitioner or last-modified date. Max 100 per page. IntakeQ: GET /appointments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1, 2, ...). Each page holds at most 100 records.
clientNoClient name or email (partial matches).
statusNoOnly appointments in this status.
end_dateNoAppointments on or before (yyyy-MM-dd).
start_dateNoAppointments on or after (yyyy-MM-dd).
deleted_onlyNotrue = only appointments deleted in the last 10 days.
updated_sinceNoOnly appointments modified after this date (yyyy-MM-dd).
practitioner_emailNoOnly this practitioner's appointments.

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

A3.6/5.0
Behavior3/5

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

annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description usefully adds the pagination cap ('Max 100 per page') and the underlying endpoint, which is context beyond the annotations, but it says nothing about default sort order or what happens when no filters are supplied.

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?

Three short sentences, filter capabilities front-loaded, pagination constraint second, endpoint reference last. No filler and nothing buried.

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?

For a read-only list tool with full schema coverage and no output schema, the description covers filters, pagination and identity. It could note whether results are sorted or what an unfiltered call returns, but nothing essential to correct invocation is missing.

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 with type, pattern and enum. The description's filter list largely restates what the schema provides, so it adds no syntax or default-value information beyond the schema. Baseline 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?

States a specific verb (Query) and resource (appointments) and enumerates the filterable dimensions, which distinguishes it from intakeq_get_appointment or intakeq_create_appointment. It stops short of naming any sibling explicitly, so it is clear but not sibling-routing.

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 by the filter list – you call it to search/filter appointments rather than fetch one. There is no explicit when-to-use, no when-not-to, and no pointer to intakeq_get_appointment for a single record, so the agent must infer the choice.

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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