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Create a patient

cliniko_create_patient
Destructive

WRITE — creates a REAL new patient record in the live Cliniko practice. Requires first_name + last_name. POST /patients.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity.
emailNoEmail address.
notesNoFree-text notes.
stateNoState / region.
address_1NoStreet address line 1.
last_nameYesPatient last name (required).
post_codeNoPost / ZIP code.
first_nameYesPatient first name (required).
country_codeNoISO country code, e.g. AU.
phone_numberNoA phone number (stored as a Mobile phone number).
date_of_birthNoDate of birth yyyy-mm-dd.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The description goes beyond the annotations by explicitly marking the operation as 'WRITE', emphasizing that it creates a 'REAL' record in the 'live Cliniko practice', and providing the HTTP endpoint. This informs the agent that the call has real side effects. It does not discuss irreversibility or duplicate handling, but the destructiveHint annotation already signals side-effect risk.

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?

The description is a single compact sentence that front-loads the critical write/side-effect information, states requirements, and includes the endpoint. Every word earns its place, and there is no redundant or filler content.

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?

Given the flat schema and complete parameter documentation, the description is adequate for invoking the tool. However, there is no output schema and the description does not mention what the API returns (e.g., the created patient's ID), which an agent would likely need for subsequent steps such as creating an appointment.

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 the schema already documents all 11 parameters. The description only restates that first_name and last_name are required, which is already encoded in the schema's required array. It adds no extra semantic detail about formats, defaults, or relationships between fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action: 'creates a REAL new patient record in the live Cliniko practice.' It identifies the verb, the resource (patient), and the fact that this is a write operation. The POST /patients detail further disambiguates it from the many read/list siblings.

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?

The description states the mandatory prerequisites ('Requires first_name + last_name'), which helps the agent know when it can be called. However, it does not explicitly discuss when to use this tool versus alternatives or mention scenarios where it should not be used. Usage is implied by the operation name rather than spelled out.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct resource-action pair such as patients, appointments, invoices, treatment notes, or availability. Even the two availability tools are clearly separated by description: list_available_times returns multiple slots while next_available_time returns one.

Naming Consistency4/5

Tools consistently use the cliniko_ prefix with get_, list_, or create_ verbs before a resource name. The only notable deviation is cliniko_next_available_time, which lacks an explicit verb, but the overall pattern remains predictable and easy to navigate.

Tool Count4/5

At 17 tools, the server is on the higher end but still reasonable for a practice-management API covering account info, businesses, practitioners, patients, appointments, invoices, treatment notes, products, and availability. Each tool maps to a meaningful endpoint, though next_available_time could be seen as partially redundant with list_available_times.

Completeness3/5

The core booking workflow is covered well: clients can look up availability and create appointments, and patient lookup is supported. However, there are no update, delete, or cancel operations for appointments or patients, and invoices and treatment notes are read-only, leaving notable lifecycle gaps.