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jamesrosing

tebra-mcp-server

by jamesrosing

tebra_get_appointments

Retrieve appointments from Tebra within a specified date range. Filter by provider, patient, status, location, reason, type, and more.

Instructions

Get appointments from Tebra within a date range. Filter by provider, patient, confirmation status, service location, reason, type, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startDateYesStart date (ISO 8601, e.g. 2026-03-25)
endDateYesEnd date (ISO 8601, e.g. 2026-03-31)
providerIdNoTebra provider ID to filter by
confirmationStatusNoFilter by confirmation status
patientFullNameNoFilter by patient full name
patientIdNoFilter by Tebra patient ID
serviceLocationNameNoFilter by service location name
appointmentReasonNoFilter by appointment reason
appointmentTypeNoFilter by type: U=Unknown, P=Patient, O=Other
fromCreatedDateNoCreated date range start (YYYY-MM-DD)
toCreatedDateNoCreated date range end (YYYY-MM-DD)
fromLastModifiedDateNoModified date range start (YYYY-MM-DD)
toLastModifiedDateNoModified date range end (YYYY-MM-DD)
casePayerScenarioNoPatient case payer scenario filter
Behavior2/5

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

No annotations provided, so description carries full burden. It fails to mention key behaviors like pagination, rate limits, or required permissions. As a read operation listing many appointments, these details are important for safe invocation.

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?

Single sentence that is front-loaded with the main purpose and lists key filters. Every part is necessary and no wasted words.

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 complex tool with 14 parameters and no output schema, the description should provide more context about typical usage or the returned data structure. It is adequate but leaves gaps.

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 coverage is 100% and each parameter has a description in the input schema. The tool description merely lists filter categories without adding new meaning, so baseline score applies.

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 'Get appointments from Tebra within a date range' with specific filters, distinguishing it from sibling tools like tebra_get_appointment_detail for single appointments.

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

Usage Guidelines4/5

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

It explicitly describes when to use (within a date range), but lacks explicit guidance on when not to use or direct alternatives. The sibling to get a single appointment is implied but not stated.

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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