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auto_loan_calc

Calculate monthly payments and total cost for an auto loan based on vehicle price, down payment, interest rate, term, and trade-in value.

Instructions

Calculate auto loan monthly payments and total cost.

Parameters:
    car_price — Vehicle purchase price.
    down_payment — Down payment amount (default: 0).
    rate — Annual interest rate (default: 6.0).
    term_months — Loan term in months (default: 60).
    trade_in — Trade-in value (default: 0).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
car_priceYes
down_paymentNo
rateNo
term_monthsNo
trade_inNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It does not disclose that the tool is read-only, idempotent, or any side effects. It only lists parameters and defaults, which is minimal beyond the schema.

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?

The description is concise: one sentence followed by a parameter list. Each parameter gets a single line, making it easy to scan. It is appropriately front-loaded, though the parameter list could be formatted more clearly (e.g., bullet points).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema, so return value details are not required. However, the description lacks context about the calculation method (e.g., amortization formula) or any assumptions. It is minimally complete for a simple calculator.

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?

Schema description coverage is 0%, so the description adds value by providing brief explanations for each parameter (car_price, down_payment, rate, term_months, trade_in) and noting defaults. This compensates for the missing schema descriptions.

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 states it calculates auto loan monthly payments and total cost, which is clear and specific to auto loans. However, it does not explicitly differentiate from sibling tools like 'loan_calculator' or 'mortgage_calculator', but the name itself provides sufficient distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. The description only states what it does, without mentioning appropriate contexts or exclusions.

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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