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Xona Dental Gateway

Get the booking's result

confirm_xona_booking
Idempotent

Get the result once the patient has tapped the text link and pressed Book this appointment. Until then it returns waiting_for_patient. Xona finds an existing patient itself; when it cannot tell, it returns the practice's booking page instead of guessing. If the booking stopped before it was written, the first call tries it once more. Calling again returns the same outcome.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
action_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
outcomeYes
practiceYes
action_idYes
next_stepYes
booking_urlNo
continue_urlNo
booking_stepsNo
consent_versionNo
link_expires_atNo
confirmation_smsNo
appointment_startNo
appointment_start_localNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / consent_version
      Removed value: -{
      -  "enum": [
      -    "gateway-booking-2026-09-14"
      -  ],
      -  "type": "string"
      -}
    • changedInput schema / required
      Previous value: -[
      -  "action_id",
      -  "consent_version"
      -]New value: +[
      +  "action_id"
      +]
    • addedOutput schema / properties / consent_version
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / link_expires_at
      Added value: +{
      +  "format": "date-time",
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.8/5.0
Behavior5/5

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

The description adds substantial behavioral context beyond the annotations: it explains the waiting_for_patient interim state, the fallback to the practice booking page when Xona cannot identify the patient, a one-time retry if the booking stopped before it was written, and idempotent repeated calls. These details are directly relevant to safely interpreting and retrying the tool.

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 four focused sentences, front-loaded with the core action and followed by relevant edge-case behavior. It is informative without padding, though slightly long for a one-parameter tool.

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?

An output schema exists, so return values need not be detailed, and the description covers important behavioral edge cases well. However, for a required action_id with no schema description and no mention in the description, the definition is incomplete on how to supply or obtain that parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one required action_id parameter with 0% schema description coverage, and the description never mentions it or explains its origin, format, or relationship to the booking. The parameter semantics are left entirely to the caller's inference from the parameter name.

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 clearly states the tool gets the booking result and gives the triggering condition: the patient has tapped the text link and pressed Book this appointment. It distinguishes itself from generic status tools by focusing on the final booking outcome, but it does not explicitly name or rule out siblings like get_dental_action_status.

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 gives a clear condition for calling: after the patient acts, and notes that until then it returns waiting_for_patient. It does not state when not to use it or name alternatives such as get_dental_action_status, so it falls just short of full alternative guidance.

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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