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Squire MCP Server and API by Cotlet

Get revenue report in Squire

squire_get_revenue_report
Read-onlyIdempotent

Get revenue report 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_get_revenue_report"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-derivable behavior: it 'opens nothing by itself', returns procedural steps, and the note that Squire has no public API explains why a browser path is required. It stops short of saying whether the instructions are versioned or cached, but that is a minor gap.

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 useful content is front-loaded, but the run-on phrasing ('from ChatGPT, Claude or any AI agent') and the parenthetical API audit date are noise for an agent deciding whether to call it. Three distinct ideas are compressed into one dense paragraph instead of being separated into purpose, return value, and next step.

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 what comes back, and it does: a step-by-step guide describing screens, buttons and fields. Combined with the explicit hand-off to cotlet_browser_* tools and the API-availability rationale, an agent has enough to call it correctly and know the next move.

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; there is nothing for the description to disambiguate. The schema closes the object with additionalProperties=false, and the description correctly implies no inputs are needed.

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 names a specific verb and resource ('Get revenue report in the user's own Squire account') and immediately clarifies that it returns step-by-step instructions (screens, buttons, fields) rather than the report data itself. That distinction separates it from sibling tools like squire_list_appointments or the cotlet_browser_* primitives. The name 'Get revenue report' slightly oversells what happens, but the text corrects it in the same sentence.

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 concrete follow-up guidance: run this first, then execute the steps with the cotlet_browser_* tools in the user's Squire Cloud Browser. That is an explicit when-to-use pattern that links two tool families. It does not state when not to use it, e.g. what to do if Squire already exposes the data elsewhere.

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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