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Connecteam MCP Server and API by Cotlet

List time off requests in Connecteam

connecteam_list_time_off_requests
Read-onlyIdempotent

List time off requests in the user's own Connecteam account from ChatGPT, Claude or any AI agent. Returns how to do it in Connecteam step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Connecteam Cloud Browser. Connecteam's official API: Connecteam has a REST API with read and write endpoints, but only on the Expert plan or higher, and its official MCP server only looks up API endpoints and cannot act on your account (checked 20 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": "connecteam_list_time_off_requests"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
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 with 'opens nothing by itself' and specifies the return content (screens, buttons, fields). The API plan/eligibility note adds useful context about why browser tools are required, going beyond the annotations.

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 is front-loaded and clear, but the closing paragraph about Connecteam's REST API, Expert plan pricing, and an 'official MCP server' is tangential justification rather than operational information the agent needs to invoke the 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?

With no parameters, no output schema, and rich annotations, the description covers what the agent needs: what it returns and what to do afterward. It leaves the return format (how the steps are structured) only loosely described, which 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?

There are zero parameters, so the baseline is 4. The description correctly implies no input is needed, though it does not explicitly say the tool takes no arguments or that it targets the user's own account implicitly.

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 specific verb and resource (list time off requests) and immediately clarifies that it returns step-by-step instructions rather than performing the action, which resolves the otherwise misleading name. It does not differentiate itself from the sibling connecteam_approve_time_off_request, 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the agent what to do after the call ('then do it with the cotlet_browser_* tools in the user's Connecteam Cloud Browser'), which is real routing guidance. However, it gives no when-not guidance and never contrasts with sibling tools that also touch time off requests, so usage is only implied.

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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