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Squire MCP Server and API by Cotlet

Book appointment in Squire

squire_book_appointment
Read-onlyIdempotent

Book appointment in the user's own Squire account from ChatGPT, Claude or any AI agent. Returns how to do it in Squire step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Squire Cloud Browser. Squire's official API: Squire has no public API and no developer docs (checked 28 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": "squire_book_appointment"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this with 'opens nothing by itself', which is the key behavioral fact an agent needs. It also discloses that Squire has no public API, explaining why a browser-driven guide is returned instead of an API call.

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?

Front-loads the action and the return value, with the browser-tool handoff and API caveat following. The parenthetical '(screens, buttons, fields)' is useful detail; phrasing is slightly dense but nothing is wasted.

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 burden of explaining the return value, and it does: step-by-step screens, buttons, and fields. Combined with the browser-tool handoff, an agent has enough to act correctly.

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 takes zero parameters, so the baseline is 4. The description correctly implies no input is required and focuses on what the call yields.

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 ('Book appointment in the user's own Squire account') and immediately clarifies the actual behavior: it returns step-by-step instructions rather than performing the booking. This distinguishes it from the cancel/reschedule siblings by verb alone.

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?

Explicitly tells the agent the follow-up path: use the cotlet_browser_* tools in the user's Squire Cloud Browser to actually perform the booking. It does not spell out when to prefer squire_reschedule_appointment or squire_cancel_appointment, but the verb makes the boundary 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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