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View customer amenities in ClubReady

clubready_view_customer_amenities
Read-onlyIdempotent

View customer amenities in the user's own ClubReady account from ChatGPT, Claude or any AI agent. Returns how to do it in ClubReady step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's ClubReady Cloud Browser. ClubReady's official API: ClubReady provides an official API and real-time data notifications.

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": "clubready_view_customer_amenities"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint=false, so the safety profile is covered; the description adds the non-obvious behavior that the call performs no navigation and only returns procedural guidance. That is exactly the kind of side-effect disclosure an agent needs before deciding whether a browser step must follow. The trailing remark about ClubReady's official API adds no behavioral value.

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?

Three short sentences, and the key operational fact (returns steps, opens nothing) lands early. The opening clause "from ChatGPT, Claude or any AI agent" and the closing API sentence are marketing filler that could be cut without loss.

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 zero parameters, a read-only hint set, and no output schema, the description must convey the return shape, and it does partially by promising screens, buttons and fields. It never clarifies whether any amenity records are returned alongside the instructions, which is the main ambiguity an agent would face.

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 there is nothing for the description to disambiguate beyond the empty schema. Baseline 4 applies; no parameter-level meaning is missing.

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 name and first sentence say "View customer amenities," but the operative sentence reveals the tool actually returns step-by-step instructions rather than amenity data. That distinction is buried in the second clause, so an agent scanning the description could misread this as a data-retrieval tool. The verb+resource pairing is present, but the deliverable is not front-loaded.

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?

It gives useful chaining guidance: the tool "opens nothing by itself; then do it with the cotlet_browser_* tools." That tells the agent how to follow up after the call. However, it offers no comparison against close siblings like clubready_view_a_customer_profile or cotlet_app_guide, so the agent has no stated basis for choosing among them.

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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