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Toast MCP Server and API by Cotlet

Set menu hours in Toast

toast_set_menu_hours
Read-onlyIdempotent

Set menu hours in the user's own Toast account from ChatGPT, Claude or any AI agent. Returns how to do it in Toast step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Toast Cloud Browser. Toast's official API: Toast has an API, but the access a restaurant creates for itself is read-only (checked 28 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": "toast_set_menu_hours"
  }
}

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 and destructiveHint=false, so the safety profile is covered; the description nonetheless adds real value by stating it 'opens nothing by itself' and that the output is a walkthrough of screens, buttons and fields. It also discloses an external constraint (the restaurant-created Toast API is read-only) that shapes why the tool exists. It stops short of saying anything about response size, rate limits, or how fresh the UI steps are.

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 workflow and the no-side-effects caveat are front-loaded, which is good, but the phrasing is loose: 'from ChatGPT, Claude or any AI agent' is filler, and the API/date sentence is a run-on appended without a clear link to the action. The important correction (it returns instructions, it does not set anything) is buried mid-sentence rather than stated first.

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 must carry the return-value burden, and it does: step-by-step screens, buttons, and fields. For a zero-parameter guidance tool it covers what it does, what it does not do, and what to do next. Only the handoff mechanics (which browser tool to open first, whether state persists) are left implicit.

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, which is the baseline-4 case; there is nothing for the description to disambiguate. It implicitly signals parameter-freeness by framing the call as 'give me the steps', consistent with the empty schema.

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 the resource (menu hours) and the target app (Toast), and crucially clarifies that the tool returns step-by-step instructions rather than performing the action. The verb 'Set' in the name is misleading against that reality, but the description corrects it within the first two sentences. It is distinguishable from the cotlet_browser_* siblings, which it explicitly hands off to.

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 two-step workflow: call this to get the screens/buttons/fields, then execute with cotlet_browser_* in the Toast Cloud Browser. The note that Toast's self-serve API is read-only explains why this indirect path exists. What is missing is any exclusion — e.g., when to use a different Toast tool like toast_list_menus first to identify the menu.

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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