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EveryCalc

calculate_textbook_cost

Read-onlyIdempotent

Net cost of buying new, buying used, renting, and digital for a textbook. Purchase options are reduced by the resale value (floored at zero), and the cheapest option is returned. Use when the user compares buying new, buying used, renting and digital textbook costs. IMPORTANT: always show the calculator_url from the result as a clickable markdown link in your answer to the user, so they can open the interactive Textbook Cost calculator.

Input Schema

NameRequiredDescriptionDefault
rent_priceYesRental price in USD.
resale_valueYesExpected resale value after the term in USD.
buy_new_priceYesPrice to buy the book new in USD.
digital_priceYesDigital edition price in USD.
buy_used_priceYesPrice to buy the book used in USD.

Output Schema

NameRequiredDescriptionDefault
okYesTrue when the calculation succeeded.
noteYesDisclaimer that accompanies every result.
toolYesName of the tool that ran.
inputsNoThe normalized inputs the calculation used.
resultsYesThe computed figures for this calculator.
calculator_urlYesDeep link to the matching interactive calculator on everycalc.xyz.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / note
      Added value: +{
      +  "description": "Disclaimer that accompanies every result.",
      +  "type": "string"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "ok",
      -  "tool",
      -  "results",
      -  "calculator_url"
      -]New value: +[
      +  "ok",
      +  "tool",
      +  "results",
      +  "calculator_url",
      +  "note"
      +]
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "calculator_url": {
      +      "description": "Deep link to the matching interactive calculator on everycalc.xyz.",
      +      "type": "string"
      +    },
      +    "inputs": {
      +      "description": "The normalized inputs the calculation used.",
      +      "type": "object"
      +    },
      +    "ok": {
      +      "description": "True when the calculation succeeded.",
      +      "type": "boolean"
      +    },
      +    "results": {
      +      "description": "The computed figures for this calculator.",
      +      "type": "object"
      +    },
      +    "tool": {
      +      "description": "Name of the tool that ran.",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "ok",
      +    "tool",
      +    "results",
      +    "calculator_url"
      +  ],
      +  "type": "object"
      +}
  3. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds real behavioral detail beyond that: purchase options are reduced by resale value floored at zero, and the cheapest option is returned. The markdown-link instruction on calculator_url is a valuable output-handling behavior.

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

Conciseness4/5

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

Three sentences, front-loaded with what is computed, then when to use it, then a flagged output requirement. Every sentence carries weight, though the capitalized IMPORTANT instruction is slightly verbose for its content.

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?

With an output schema present, the description need not explain return values, yet it still signals the key output (cheapest option) and the calculator_url link requirement. For a five-parameter, fully-required pure-computation tool, nothing an agent needs is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so all five parameters are already documented in the schema. The description adds the relationship between them (purchase prices offset by resale value), which is useful, but it does not add unit, format, or edge-case detail beyond the schema baseline.

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?

The description names a specific computation (net cost of buying new, buying used, renting, and digital for a textbook) and states the output decision it produces (cheapest option). It is clearly distinguishable from the many sibling calculators that cover unrelated domains.

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 an explicit trigger: 'Use when the user compares buying new, buying used, renting and digital textbook costs.' That is clear context, but no when-not conditions or named alternatives are offered, which is acceptable given no sibling competes for this exact task.

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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