Tip Calculation for AI Agents

Overview

The tip is `amount` multiplied by `percentage` / 100, and the total is the bill plus the tip. `percentage` accepts 0 to 100 and defaults to 15; a 0 is honoured rather than replaced by the default. `people` defaults to 1, and the bill, tip and total are each divided by it to give the `per_person` object.

Every money figure is rounded to two decimal places independently, after the division. Because the per-person values are rounded from unrounded totals, multiplying `per_person.total_amount` back by `split_between` can differ from `total_amount` by a cent or so; if you collect money from each person, decide in your own code who covers the remainder.

`currency` is a display setting only and no exchange conversion takes place. It is echoed back as sent, and it chooses the symbol used in `formatted`: USD, EUR, GBP, JPY, CNY, INR, CAD, AUD and MXN have built-in symbols (CAD shows C$, AUD A$, MXN MX$), and any other code is printed as the code followed by a space. The match is case-sensitive, and all currencies are formatted with two decimals, including JPY.

`common_tip_amounts` repeats the calculation for 10, 15, 18, 20 and 25 percent, each with `tip_amount`, `total` and `per_person`, regardless of the percentage you asked for. `formatted` and `common_tip_amounts` are null on the Free plan; all other fields are returned on every plan.

Live Test Tip Calculation for AI Agents Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as TipCalculationforAIAgents. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "TipCalculationforAIAgents",
  "arguments": {
    "amount": "100"
  }
}

You do not name the tool yourself; the model picks it. Asking about 100 in the terms this source covers is enough for it to reach for TipCalculationforAIAgents on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

https://api.vervecontext.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "bill_amount": 100,
    "tip_percentage": 18,
    "tip_amount": 18,
    "total_amount": 118,
    "currency": "USD",
    "split_between": 4,
    "per_person": {
      "bill_amount": 25,
      "tip_amount": 4.5,
      "total_amount": 29.5
    },
    "common_tip_amounts": [
      {
        "percentage": 10,
        "tip_amount": 10,
        "total": 110,
        "per_person": 27.5
      },
      {
        "percentage": 15,
        "tip_amount": 15,
        "total": 115,
        "per_person": 28.75
      },
      {
        "percentage": 20,
        "tip_amount": 20,
        "total": 120,
        "per_person": 30
      }
    ],
    "formatted": {
      "bill_amount": "$100.00",
      "tip_amount": "$18.00",
      "total_amount": "$118.00",
      "per_person_total": "$29.50"
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at bill_amount: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 1 credit each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Supported Currencies

170+ world currencies supported including fiat currencies, cryptocurrencies, and precious metals.

Use cases

Dining Apps

Integrate tip calculation features into restaurant and food delivery applications

Expense Tracking

Calculate and track tip expenses for budgeting and expense reporting

Bill Splitting

Split restaurant bills fairly among groups with automatic tip calculation

Financial Tools

Provide tip guidance and calculation in personal finance and budgeting apps

Other ways to use Tip Calculation for AI Agents

Set up Tip Calculation for AI Agents on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

Related

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