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Quinyx MCP Server and API by Cotlet

Offer open shift in Quinyx

quinyx_offer_open_shift
Read-onlyIdempotent

Offer open shift in the user's own Quinyx account from ChatGPT, Claude or any AI agent. Returns how to do it in Quinyx step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Quinyx Cloud Browser. Quinyx's official API: Quinyx has a REST API (checked 22 Oct 2026), but no official MCP server, and the API leaves out the manager's daily work: it cannot approve requests, offer shifts, attest hours or publish a schedule.

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": "quinyx_offer_open_shift"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the annotations, it discloses the crucial fact that the tool 'opens nothing by itself' and returns procedural instructions, which matches readOnlyHint=true and destructiveHint=false. It also explains why the official REST API is insufficient, justifying the browser-tool handoff. It stops short of describing the actual response structure or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core behavior (returns steps, performs nothing) is front-loaded in the first sentence, and the follow-up names the exact tools to use next. The closing sentence about Quinyx's API is longer than strictly needed but does explain the browser-tool rationale.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

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 no output schema, the description gives everything needed to call it and act on the result: what it returns, that it mutates nothing, and which tools to chain afterward.

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 empty, so there is no parameter semantics to document; the baseline of 4 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 specific verb and resource ('Offer open shift') and immediately clarifies that the tool only returns a step-by-step procedure rather than performing the action. It does not, however, distinguish itself from the similarly guide-oriented cotlet_app_guide sibling.

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 clear sequencing guidance: call this first to get screens/buttons/fields, then execute with the cotlet_browser_* tools in the Quinyx Cloud Browser. There is no explicit when-not guidance or statement about what to do if the shift is already filled.

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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