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Fresha by Cotlet

Create appointment

create_appointment
Destructive

Book an appointment for a client: services, team member and start time. Waits for the owner's approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_atYesStart, ISO 8601: 2026-11-03T14:30 is wall clock in the business's time zone; with an offset (2026-11-03T14:30:00+01:00) it is converted.
client_idNoClient from list_clients. Without it: a walk-in.
service_idsYesService ids from list_services, done one after another in this order.
team_member_idNoTeam member. Default: the first who takes bookings.

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?

The annotations already declare this a non-readonly, non-idempotent, open-world write, so the description's real contribution is "Waits for the owner's approval" — significant workflow context an agent would otherwise miss. It stops short of saying whether the slot is held during approval, what happens on rejection, or what the tool returns.

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?

Two tight sentences with zero waste; the core action is front-loaded and the approval caveat follows immediately.

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?

With four parameters, full schema coverage and no output schema, the definition covers what an agent needs to invoke it, including the approval gate. It leaves open whether an unavailable slot causes an error and what the returned pending appointment looks like.

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%, so every parameter including the optional client_id, walk-in behavior, and ISO 8601 handling is already documented. The description only restates the core fields and adds no semantics beyond the schema; the phrase "for a client" slightly undersells that client_id is optional.

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 and resource ("Book an appointment") plus the key inputs (services, team member, start time), which separates it from siblings like reschedule_appointment and add_blocked_time. It does not explicitly name an alternative, so an agent must infer the boundary itself.

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?

Usage is only implied: you book when a client needs an appointment at a given time. There is no steer toward find_available_slots before booking, no note on when to prefer reschedule_appointment for existing bookings, and no stated preconditions such as required permissions.

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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