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Connecteam MCP Server and API by Cotlet

Approve timesheet in Connecteam

connecteam_approve_timesheet
Read-onlyIdempotent

Approve timesheet 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_approve_timesheet"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

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, destructiveHint=false and idempotentHint=true, and the description reinforces this with "opens nothing by itself" plus a description of the return payload (screens, buttons, fields). It adds real context about Connecteam's official API being Expert-plan-only and its MCP server being lookup-only, explaining why this guidance path is needed. It stops short of stating auth or rate-limit behavior.

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?

Purpose and non-action caveat are front-loaded, which is good, but the closing sentence about the Expert-plan REST API is long, self-justifying, and includes a noisy verification date. Filler like "from ChatGPT, Claude or any AI agent" could be cut without loss.

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 zero parameters and no output schema, the description carries the burden of explaining the return value, which it does (step-by-step screens, buttons, fields). It also names the follow-up tool family needed to complete the task. Little an agent needs in order to call this correctly is missing.

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 no parameters at all, so the schema carries no semantic burden and the baseline is 4. The description adds the relevant note that everything is scoped to "the user's own Connecteam account."

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 names a specific verb and resource ("Approve timesheet") and immediately clarifies the real behavior: it returns step-by-step instructions rather than performing the approval. That distinguishes it from a true mutation tool, though it never explicitly contrasts with human-sounding siblings like connecteam_list_timesheets or connecteam_approve_time_off_request.

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 a clear usage path: call this to get the Connecteam screens/buttons/fields, then execute with cotlet_browser_* tools. The handoff is explicit and actionable. What's missing is an exclusion — when NOT to reach for this tool — but the positive guidance 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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