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Eversports Studio Manager by Cotlet

Use activity templates in Eversports Studio Manager

eversports_studio_manager_use_activity_templates
Read-onlyIdempotent

Use activity templates in the user's own Eversports Studio Manager account from ChatGPT, Claude or any AI agent. Returns how to do it in Eversports Studio Manager step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Eversports Studio Manager Cloud Browser. Eversports Studio Manager's official API: Eversports Studio Manager has an official Provider API, but it is read-only: it reads eight areas (business and venues, schedules, booking details, teachers, products, customers, customer products, and attendance and court bookings) and cannot add, change or cancel anything.

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": "eversports_studio_manager_use_activity_templates"
  }
}

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?

Annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this by stating it 'opens nothing by itself' and only returns guidance. It additionally discloses the external constraint that the official Provider API is read-only across eight named areas, which explains why browser automation is required.

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 instruction is front-loaded and useful, but the closing sentence spends substantial length enumerating the eight API areas, which is background rationale rather than guidance for invoking this specific tool.

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 guidance tool with full annotation coverage and no output schema, the description covers what it returns, what it does not do, and how to act on the result. Only the absence of detail on the returned instruction format is a minor gap.

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 are no parameter semantics to clarify; the baseline for a no-parameter tool applies.

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 states a concrete deliverable: it returns step-by-step instructions ('screens, buttons, fields') for using activity templates in the user's own Studio Manager account. It also makes clear this tool performs no action itself, which separates it from action-performing siblings, though it does not name a specific sibling alternative.

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 an explicit workflow: call this first to get the procedure, then execute it with cotlet_browser_* tools in the Cloud Browser. It lacks explicit when-not-to-use conditions or a named sibling comparison, but the intended sequence is unambiguous.

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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