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Calculate Eco Savings Vs Icev

calculate_eco_savings_vs_icev

Compare Tesla electricity costs against gasoline car fuel expenses for the same distance. Compute carbon reduction and tree equivalents to show environmental and financial savings.

Instructions

Calculate eco savings and carbon reduction compared to an ICEV (燃油汽车).

Compares Tesla's actual electricity costs against a hypothetical ICEV consuming the same distance in fuel, plus CO2 savings and tree equivalents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days to look back (default: 30)
car_idNoFilter by vehicle ID (default: TESLA_CAR_ID env or first car)
icev_mpgNoICEV fuel consumption in L/100km (default: 8.0)
gas_priceNoGas price per litre in RMB (default: 8.0)
electricity_priceNoElectricity cost per kWh in RMB (default: 0.5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It usefully discloses the computation model (same-distance ICEV fuel vs. actual electricity cost) but says nothing about read-only nature, data source, permissions, or that it is a derived estimate rather than recorded data. Adequate but with clear gaps for a tool with zero annotation coverage.

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?

Two short sentences, front-loaded with the verb and resource, and the second sentence clarifies the comparison model. No filler, though the parenthetical Chinese gloss adds little for an English-language agent.

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?

An output schema exists and schema coverage is full, so return values and parameter formats need not be explained. What remains missing is usage context (when this beats tesla_savings) and the nature/source of the calculation, leaving the definition adequate but not complete.

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 the schema already documents all five parameters (days, car_id, icev_mpg, gas_price, electricity_price) with defaults and units. The description adds the conceptual framing of the ICEV comparison but no syntax or semantics beyond the schema, so baseline 3 applies.

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?

States a specific computation: eco savings and CO2 reduction comparing Tesla electricity costs against a hypothetical ICEV, including tree equivalents. An agent can tell it apart from generic siblings like tesla_savings or tesla_trip_cost, though it never explicitly names which sibling to prefer.

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 when-to-use guidance, no exclusions, and no routing against the nearby tesla_savings / tesla_trip_cost / tesla_efficiency tools that overlap conceptually. The agent must infer the situation from siblings alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.