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RevvedUpCars True Cost Index

True monthly cost of a car

get_true_cost
Read-onlyIdempotent

One car's true monthly cost of ownership: loan, insurance, maintenance and fuel, the total per month and per year, whether each estimate is the car's own figure or a segment average, and its rank among comparable cars.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesCar slug from find_car, e.g. 2025-toyota-rav4-le

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds genuine behavioral context beyond that: it discloses that estimates may be either the car's own figure or a segment average, and that a rank against comparable cars is returned — a meaningful caveat about data provenance.

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?

A single dense sentence that front-loads the core purpose before listing payload contents. Every clause contributes, though the enumerated list makes it read as a run-on rather than cleanly segmented structure.

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 carries the return-value burden and does so well, listing components, totals, the segment-average caveat, and the rank. It stops short of clarifying units/currency or what the comparison set for rank is, minor gaps for a cost-modeling tool.

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?

There is a single parameter with 100% schema description coverage, and the schema already documents slug with a format pattern and a concrete example. The description adds nothing about slug, so the baseline of 3 is appropriate.

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 resource and scope: "One car's true monthly cost of ownership," and enumerates the cost components (loan, insurance, maintenance, fuel). The phrase "one car's" implicitly separates it from compare_true_cost, but no sibling is named explicitly, so differentiation is inferred rather than stated.

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?

There is no when-to-use guidance, no prerequisites, and no mention of the adjacent tools compare_true_cost or cost_index. The singular-car scope weakly implies a single-car lookup, but an agent gets no explicit condition for choosing this tool over its siblings.

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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