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HairDora Salon Scheduling

Show salon overview

show_salon_overview
Read-onlyIdempotent

Use this when someone wants a quick overview or dashboard of one hair salon. Returns an overview card with the salon's details, a client count, the next 8 upcoming appointments with time, status and number of services, and up to 12 services with prices (no client names or contact details). Not for one specific booking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
salonIdYesId of one of the user's salons, as the salon list returns it (24 lowercase hex characters)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
salonYesSalon metadata; null when not found. The overview excludes client names, contact details, client and appointment ids, notes, organization data, staff ids, payment data and service history.
servicesYes
clientCountYes
appointmentsYesThe next upcoming appointments, earliest first
serviceCountYes
appointmentCountYes
clientCountIsLowerBoundYes
serviceCountIsLowerBoundYes
appointmentCountIsLowerBoundYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / salonId / description
      Previous value: -"HairDora salon id to render"New value: +"Id of one of the user's salons, as the salon list returns it (24 lowercase hex characters)"
    • addedOutput schema / properties / appointments / description
      Added value: +"The next upcoming appointments, earliest first"
    • addedOutput schema / properties / salon / description
      Added value: +"Salon metadata; null when not found. The overview excludes client names, contact details, client and appointment ids, notes, organization data, staff ids, payment data and service history."
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely non-obvious context: the payload shape, the caps (8 appointments, 12 services), and a privacy boundary (no client names or contact details). It does not mention pagination or error behavior, but that is minor here.

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 sentences, zero padding: the usage condition is front-loaded and the second sentence is a tight, itemized inventory of the return payload. Every clause carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

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 explained, yet the description still summarizes the payload and its privacy limits, making the tool fully callable and interpretable. Nothing an agent needs is missing.

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 the single salonId parameter already documents its 24-hex format and provenance ('as the salon list returns it'). The description adds no parameter-level meaning beyond the schema, so the baseline 3 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?

States a specific verb and resource ('show... overview... of one hair salon') and enumerates exactly what the aggregate contains (details, client count, next 8 appointments, up to 12 services). This clearly separates it from the singular-record siblings like get_appointment and get_client.

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?

Gives an explicit when-to-use trigger ('when someone wants a quick overview or dashboard') and an explicit exclusion ('Not for one specific booking'), which routes the agent away from get_appointment. It does not name the neighboring alternatives like get_salon or list_appointments by name, so it stops short of full routing 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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