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Club OS by Cotlet

View Text Usage Analytics dashboard in Club OS

club_os_view_text_usage_analytics_dashboard
Read-onlyIdempotent

View Text Usage Analytics dashboard in the user's own Club OS account from ChatGPT, Claude or any AI agent. Returns how to do it in Club OS step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Club OS Cloud Browser. Club OS's official API: Club OS has an official API for its calendar, agreements, leads, follow-ups and KPIs, but credentials come only by emailing Club OS support to set up an account (checked 11 Nov 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": "club_os_view_text_usage_analytics_dashboard"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare readOnly, idempotent, non-destructive and non-open-world, and the description reinforces this with the unusually valuable note that it "opens nothing by itself" — preventing an agent from assuming a side effect occurred. It also discloses an account constraint (official API credentials only via Club OS support), though that fact pertains more to other tools than to this one.

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 core is front-loaded and precise, but the closing sentence about Club OS's official API and support-email credentialing is tangential to invoking this zero-parameter, read-only dashboard-view tool and consumes roughly a third of the text. The parenthetical "(checked 11 Nov 2026)" is noise from an invocation standpoint.

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 parameters, no output schema and full annotation coverage, the definition does what it must: it describes the return shape (screens, buttons, fields) and the follow-up tool family. It could go further by noting failure behavior or what happens if the user's account lacks the Text Usage Analytics feature, 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 takes zero parameters, so there is no parameter semantics to add and the baseline of 4 applies. Nothing in the description conflicts with the empty schema.

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?

States a specific verb and resource ("View Text Usage Analytics dashboard in the user's own Club OS account") and clarifies that the output is a procedural walkthrough rather than the dashboard itself. It does not explicitly contrast itself with the close sibling club_os_view_email_and_text_campaign_history_and_analytics, so an agent must infer the boundary between them.

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?

Gives a clear operating model: this tool returns step-by-step instructions and "opens nothing by itself", and the actual work must then be done via cotlet_browser_* tools in the Cloud Browser. That names both the when and the alternative (the browser tools). It stops short of stating when to prefer a different Club OS analytics view instead.

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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