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Fresha: Create appointment

fresha_create_appointment

Fresha: Book one or more services for a client at a given time. Books the services you list for a client, back to back, from start_at. The appointment starts as Booked. Without team_member_id it goes to the first team member who is free. Check the time with find_available_slots first; a time that is taken fails. The booking can reach 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
noteNoAppointment note for your team.
start_atYesISO 8601 with time zone.
client_idYesClient ID from list_clients.
location_idNoOnly this location. Default: all locations.
service_idsYesServices from list_services, in order.
team_member_idNoTeam member. Default: first available.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations cover the safety profile (not read-only, not destructive, open-world); the description adds substantial context beyond them: the appointment starts as Booked, team_member_id omission routes to the first free member, a taken slot fails, and an API key with app access is required. The 'reaches the client / reaches other people' confirmation guidance is useful, though somewhat repetitive.

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 in the first sentence and each sentence carries operational content. The closing confirmation sentences ('you confirm each call' vs 'confirm with the user before each call') partly restate the same idea, costing a little tightness.

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 no output schema, the description carries the return-behavior burden and does reasonably well by stating the initial Booked status, default assignment, and failure mode. It does not describe what the created appointment response contains or whether it can be cancelled afterward, a minor gap.

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 the schema lacks: services are booked back to back from start_at, and omitting team_member_id assigns the first free member (not just 'first available'). It slightly exceeds what the structured fields alone convey.

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?

States a specific verb (Book) and resource (services for a client at a given time) with the mechanics spelled out — services booked back to back from start_at. An agent can distinguish it from fresha_reschedule_appointment, fresha_cancel_appointment, and fresha_find_available_slots without opening any schema.

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

Usage Guidelines5/5

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

Explicitly instructs to check the time with find_available_slots first and warns that a taken time fails, naming the sibling tool that selects the alternate path. It also frames the confirmation workflow (default on, can be switched off), leaving little to inference.

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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