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View and export attendance reports in Gymdesk

gymdesk_view_and_export_attendance_reports
Read-onlyIdempotent

View and export attendance reports in the user's own Gymdesk account from ChatGPT, Claude or any AI agent. Returns how to do it in Gymdesk step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Gymdesk Cloud Browser. Gymdesk's official API: No publicly documented Gymdesk API was found on 11 Nov 2026: gymdesk.com/api, gymdesk.com/developers and docs.gymdesk.com/api returned 404 and the help center has no Gymdesk API article.

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": "gymdesk_view_and_export_attendance_reports"
  }
}

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, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior: 'opens nothing by itself' — it returns instructions rather than performing the action, and it discloses that no public API exists, explaining why the UI path is required. It does not describe the shape or length of the returned steps, which keeps it off a 5.

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 behavior and the handoff to cotlet_browser_* tools are front-loaded and useful. However, the closing sentence enumerating 404 URLs and the specific date (11 Nov 2026) is longer than needed, and the 'from ChatGPT, Claude or any AI agent' phrasing is filler that does not help tool selection.

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 return-value burden and does so: it says the result is step-by-step instructions with screens, buttons, and fields. Combined with the explicit next-step tool family, an agent knows what to expect. Minor gap: no indication of scope limits or what to do if the report is not found.

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 and the schema is an empty object with additionalProperties=false, so there is no parameter meaning to add. Baseline for a parameterless tool is 4.

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+resource: view and export attendance reports. It is clearly differentiated from adjacent siblings such as configure_attendance_settings, add_attendance_manually, and mass_check_in, which are settings/mutation tools. It does not explicitly name a sibling it competes with, so it stops short of a 5.

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?

The description gives a clear usage path: call this to get step-by-step screens/buttons/fields, then execute with cotlet_browser_* tools. That is an explicit workflow instruction, though it does not state when NOT to use it (e.g. when another export tool already covers the report).

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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