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Shiftbase MCP Server and API by Cotlet

Approve exchange request in Shiftbase

shiftbase_approve_exchange_request
Read-onlyIdempotent

Approve exchange request in the user's own Shiftbase account from ChatGPT, Claude or any AI agent. Returns how to do it in Shiftbase step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Shiftbase Cloud Browser. Shiftbase's official API: Shiftbase has a Public API for employees, schedules, time registration, clocks and reports, but no official MCP server (checked 22 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": "shiftbase_approve_exchange_request"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

Goes beyond annotations by resolving the main ambiguity created by the name: despite 'approve', it 'opens nothing by itself' and only returns guidance, which is exactly the context an agent needs to avoid assuming a state change occurred. Adds environment context (Cloud Browser, no official MCP server, no Public API coverage for this action).

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 clarification is front-loaded and useful, but phrases like 'from ChatGPT, Claude or any AI agent' and the dated API audit note are filler that dilutes the actionable content. Trimming those would sharpen it without losing information.

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 does the necessary work of saying what comes back (screens, buttons, fields) and what does not happen (no browser opening). The one gap is not stating how the target exchange request is identified when there are no parameters.

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?

Zero parameters, so the baseline applies; the description correctly implies the tool works from ambient context rather than inputs. It could have stated which request is targeted (e.g., the one open in the browser page), which is the only unresolved semantic.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Approve exchange request') and immediately clarifies the actual deliverable: step-by-step instructions rather than the approval itself. This distinguishes it from mutation siblings like shiftbase_approve_absence_request and from the cotlet_browser_* action tools.

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?

Explicitly prescribes the workflow: call this first for step-by-step guidance, then perform the action with cotlet_browser_* tools in the user's Shiftbase Cloud Browser. It does not name when to prefer a sibling (e.g., absence vs. exchange requests), but the resource itself 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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