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lodordev

mcp-teslamate-fleet

tesla_savings

Calculate your total savings from driving an electric vehicle versus a gas car by adjusting gas price and MPG.

Instructions

Gas savings scorecard — how much you've saved vs a gas car.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gas_priceNoGas price per gallon (default from TESLA_GAS_PRICE env, or $3.50)
mpg_equivalentNoComparable gas vehicle MPG (default from TESLA_GAS_MPG env, or 28)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must convey behavioral traits. Only mentions it's a 'scorecard' but doesn't disclose if it's a read-only calculation, performance implications, or data sources. Minimal behavioral context.

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

Conciseness5/5

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

Single sentence, under 10 words, front-loaded with key action and resource. No wasted words.

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?

Tool is simple with two optional parameters and output schema exists. Description covers the core purpose, but lacks mention of limitations or usage context (e.g., requires historical driving data?). Still mostly adequate.

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% and includes default and env variable details. Description adds no new meaning beyond what the schema provides, so baseline score of 3 is appropriate.

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?

Description clearly states the tool calculates gas savings vs. a gas car, which is specific and distinguishes it from siblings like tesla_efficiency or tesla_trip_cost.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives like tesla_trip_cost or tesla_efficiency. Basic purpose is clear, but no when/not or alternative hints.

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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