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Toast MCP Server and API by Cotlet

Fix time entry in Toast

toast_fix_time_entry
Read-onlyIdempotent

Fix time entry 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_fix_time_entry"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description reinforces this with the concrete claim that it "opens nothing by itself" — useful confirmation of what the call does and does not do. The API read-only note adds context on why browser automation is required. Beyond that, nothing is said about the format, length, or variability of the returned steps.

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 purpose and the hand-off to browser tools are front-loaded and clear. However, "from ChatGPT, Claude or any AI agent" is filler, and the dated API aside ("checked 28 Oct 2026") is tangential to invoking the tool. Tightening to the action, the return shape, and the follow-up would lose nothing.

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 and no output schema, the description carries the burden of explaining the return value, and it does so concretely ("step by step (screens, buttons, fields)"). It also makes clear that the actual change happens outside this tool. What an agent needs in order to call it and act on the result is present.

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, so there is no parameter meaning to add and the baseline applies. The description does not waste space restating an 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 a specific verb and resource ("Fix time entry in the user's own Toast account") and immediately clarifies that the tool returns instructions rather than performing the fix. That reframing is essential because "fix" alone could be read as a mutation. It stops short of naming the relevant sibling (toast_list_time_entries) that would locate the entry to correct.

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 lays out an explicit two-step workflow: call this tool for the steps, then execute with the cotlet_browser_* tools in the Toast Cloud Browser. The alternative path (direct API) is also addressed and ruled out as read-only. It gives no explicit when-not-to-use condition or pointer to the listing tool for finding the entry first.

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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