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jamesrosing

tebra-mcp-server

by jamesrosing

tebra_create_appointment

Create a new appointment in Tebra by specifying patient, provider, service location, appointment reason, and start date. Optionally add duration, notes, and confirmation status.

Instructions

Create a new appointment in Tebra. Requires patient, provider, service location, appointment reason, and start date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patientIdYesTebra patient ID
providerIdYesTebra provider ID
serviceLocationIdYesTebra service location ID
appointmentReasonIdYesTebra appointment reason ID
startDateYesAppointment start date/time (ISO 8601, e.g. 2026-04-01T09:00:00)
durationNoOptional duration in minutes (defaults to appointment reason default)
notesNoOptional appointment notes
confirmationStatusNoOptional confirmation status (e.g. Confirmed, Unconfirmed)
Behavior2/5

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

With no annotations, the description should disclose behavioral details. It only lists required parameters but does not mention side effects, permissions, error handling, or the outcome of the creation process.

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 description is concise with one sentence, but it could be improved by separating required vs optional parameters or adding more structure. Still, it is not verbose.

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

Completeness2/5

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

Given 8 parameters and no output schema, the description lacks completeness. It does not explain return values, error conditions, or any behavioral context beyond listing required fields.

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?

The schema covers 100% of parameters, so baseline is 3. The description adds minimal value by naming required parameters but does not provide additional semantics or context beyond the schema.

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 the action ('Create'), the resource ('appointment'), and the system ('Tebra'). It also lists the required entities, distinguishing it from sibling tools like update or delete.

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 implies usage for creating new appointments but does not explicitly state when to use it versus alternatives like tebra_update_appointment. No guidance on exclusions or prerequisites.

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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