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Trainerize: Schedule appointment

trainerize_schedule_appointment

Trainerize: Book an appointment with a client, optionally weekly or monthly. Books an appointment of the type you name, with the client, at the start time you give. A weekly or monthly repeat creates one appointment per date up to repeat_until. Notes are visible to the client. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoAppointment notes. The client can see them.
startYesISO 8601 with time zone.
repeatNonone, weekly or monthly. Default: none.
client_idYesClient ID from list_clients.
repeat_untilNoLast date of a repeating appointment.
appointment_typeYesAppointment type name, e.g. 1-on-1 Appointment.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=false, destructiveHint=false, openWorldHint=true. The description adds real context beyond that: notes are client-visible, a repeat creates one appointment per date up to repeat_until, calls default to a confirmation step, and the tool reaches other people so per-call confirmation is advised. It does not fully explain the confirmation-switch mechanics, keeping it below 5.

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?

Purpose is front-loaded and the sentences mostly carry distinct information (repeat semantics, notes visibility, confirmation, API key). There is mild redundancy between 'By default you confirm each call' and 'confirm with the user before each call', but overall it is tight.

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 mutation tool with no output schema and annotations already covering the safety profile, the description supplies the remaining essentials: client-visible side effect, repeat/rollover behavior, confirmation requirement, and auth prerequisite. It is close to complete, with only the confirmation-switch behavior left vague.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema by tying repeat to repeat_until (one appointment per date) and flagging that notes are client-visible. These relationships aren't spelled out in the schema, so it earns above baseline.

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 (Book) and resource (appointment) with scope details: with a client, at a given start time, optionally repeating. This clearly separates it from read siblings like trainerize_list_appointments. It does not name a sibling explicitly, so it falls short of 5.

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?

Gives meaningful operating context (confirm each call, confirm with the user because it reaches other people, needs an API key with app access) but never states when to use this versus an alternative tool or a when-not condition. Usage is implied rather than routed.

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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