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HairDora Salon Scheduling

Look up service prices

list_services
Read-onlyIdempotent

Use this when someone asks what their salon charges for a cut, colour, blow-dry or other service, or what services it offers. Returns services with id, name, price and salon for all their salons unless one is given, 50 by default and up to 100. Not for what a particular client had done.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of services to return (default 50, maximum 100)
salonIdNoOnly services of this salon, by an id from the user's salon list; every salon when absent

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
hasMoreYes
servicesYesServices the salon offers, with prices. Internal metadata and organization data are excluded.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / salonId / description
      Previous value: -"Filter by a salon id returned by list_salons"New value: +"Only services of this salon, by an id from the user's salon list; every salon when absent"
    • addedOutput schema / properties / services / description
      Added value: +"Services the salon offers, with prices. Internal metadata and organization data are excluded."
    • addedOutput schema / properties / services / items / properties / price / description
      Added value: +"Price in the salon's currency"
  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 cover read-only/idempotent safety, so the bar is lower; the description adds real behavioral context — the default page size of 50, the 100 cap, and that all salons are returned unless one is specified. It doesn't mention pagination continuation behavior, but that is minor.

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?

Three short sentences, front-loaded with the use case, then the return shape and defaults, then the exclusion. No filler.

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-value explanation is not required, yet the description still sketches the fields and paging defaults. For a two-param read tool with full annotations, nothing an agent needs to invoke it correctly 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 description coverage is 100%, so both parameters are already documented in the schema. The description restates the 50-default/100-max limit and the all-salons-unless-given behavior, adding little beyond what the schema provides.

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+resource ('list' services with 'price') and enumerates the fields returned (id, name, price, salon). It also names the scope boundary against siblings by excluding 'what a particular client had done,' separating it from appointment/client history tools.

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 a clear situational trigger ('when someone asks what their salon charges for a cut, colour, blow-dry or other service') plus one exclusion. It does not name the alternative tool an agent should reach for instead, so it stops short of explicit routing.

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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