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Rosy Salon Software by Cotlet

View arrival check-in status in Rosy Salon Software

rosy_salon_software_view_arrival_check_in_status
Read-onlyIdempotent

View arrival check-in status in the user's own Rosy Salon Software account from ChatGPT, Claude or any AI agent. Returns how to do it in Rosy Salon Software step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Rosy Salon Software Cloud Browser. Rosy Salon Software's official API: Rosy's published API covers reads across appointments, clients, employees, services and tickets, plus selected creation endpoints.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "rosy_salon_software_view_arrival_check_in_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered. The description usefully adds that the tool opens nothing by itself and only returns screens/buttons/fields as guidance, but the trailing paragraph about Rosy's official API coverage is unrelated to this call and leaves unclear whether the tool reads via API or browser, muddying rather than clarifying behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded, but the sentence structure is convoluted (a long compound sentence about returning instructions and then using cotlet_browser_* tools), and the closing API-coverage sentence is boilerplate that does not help an agent invoke this specific tool.

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

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and annotations covering the safety profile, the core need is explaining what comes back and what to do next. The description partially covers this (step-by-step screens/buttons/fields, follow-up browser tools) but omits whether authentication or an open browser session is prerequisite and what the returned guide actually contains.

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?

The schema has zero parameters and 100% coverage, so the baseline of 4 applies. Nothing in the description could meaningfully add parameter semantics for an argument-free tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The verb+resource (view arrival check-in status in Rosy Salon Software) is stated, but the second sentence reframes the tool as returning step-by-step instructions rather than the status itself, which conflicts with the natural reading of the name. An agent can guess the domain, but cannot be fully certain whether it gets data or a how-to guide, and no sibling (e.g. rosy_salon_software_view_appointment_schedule) is contrasted.

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?

The description does give a usage flow: call this, then act with cotlet_browser_* tools in the Cloud Browser. However, it never states when NOT to use it, does not name an alternative for actually reading the data, and does not say whether prior browser navigation or login is required.

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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