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lodordev

mcp-teslamate-fleet

tesla_efficiency_by_temp

Analyze how outside temperature affects Tesla energy consumption to optimize driving efficiency and range planning.

Instructions

Efficiency curve by temperature — Wh/mi at different temps.

Shows how outside temperature affects energy consumption.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 carries the full burden. It states the tool shows efficiency data, implying it's a read-only operation, but does not disclose behavioral traits such as data freshness, source, permissions required, rate limits, or error conditions. For a tool with no annotations, this leaves significant gaps in understanding how it behaves.

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?

The description is very concise and front-loaded: two short sentences with zero waste. The first sentence states the core purpose, and the second adds clarifying context. Every word earns its place.

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?

Given the tool has 0 parameters, 100% schema coverage, and an output schema exists (so return values are documented elsewhere), the description is minimally adequate. However, with no annotations and siblings present, it could better address usage context or data specifics to be more complete.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds value by explaining the output semantics (efficiency curve by temperature in Wh/mi), which is appropriate given the lack of parameters.

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 clearly states what the tool does: 'Efficiency curve by temperature — Wh/mi at different temps. Shows how outside temperature affects energy consumption.' It specifies the verb (shows/returns) and resource (efficiency curve by temperature), but does not explicitly differentiate from sibling tools like 'tesla_efficiency' (which likely shows overall efficiency).

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 is provided on when to use this tool versus alternatives. The description explains what it does but does not mention when it should be used, prerequisites, or comparisons to siblings like 'tesla_efficiency' or 'tesla_drives' that might relate to energy consumption.

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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