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DaySmart MCP Server and API by Cotlet

Book appointment in DaySmart

daysmart_book_appointment
Read-onlyIdempotent

Book appointment in the user's own DaySmart account from ChatGPT, Claude or any AI agent. Returns how to do it in DaySmart step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's DaySmart Cloud Browser. DaySmart's official API: DaySmart Salon and DaySmart Pet have no public API (checked 11 Oct 2026).

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": "daysmart_book_appointment"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

The description adds important behavior beyond the annotations: it opens nothing by itself, returns screen/button/field steps, and explains that DaySmart Salon and DaySmart Pet lack a public API. This reinforces the readOnlyHint=true annotation and prevents the agent from expecting a real booking. It does not detail the exact return format, but the key side-effect profile is well covered.

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?

The description is two dense sentences that front-load the tool's nature and the necessary follow-up tools. The semicolon-linked sentence is slightly awkward, but every clause contributes useful context and nothing is redundant.

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?

For a zero-parameter, read-only guide tool with no output schema, the description explains what is returned (step-by-step screens, buttons, fields) and what to do next. It also addresses the API context that motivates the browser-based workflow. A little more detail on the exact return shape would make it complete, but the essentials are present.

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 tool has zero parameters, so there is no parameter semantics to document. The baseline for a parameterless tool is 4, and the description does not need to compensate for any schema gap.

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?

The description clarifies that despite the name 'Book appointment,' the tool actually returns step-by-step instructions rather than performing the booking, and it names cotlet_browser_* tools as the follow-up action. This is a specific and useful distinction from siblings, though the opening 'Book appointment' phrasing still risks being read as an action tool before the correction lands.

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?

It gives clear usage context: call this to get the DaySmart steps, then execute them with cotlet_browser_* tools in the DaySmart Cloud Browser. It does not explicitly say when not to use it or contrast it with cotlet_app_guide, but the intended workflow is clear.

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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