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mikeysrecipes

TeslaMate MCP Server

get_tire_pressure_weekly_trends

Track weekly tire pressure trends for each Tesla car to identify changes and potential issues.

Instructions

Get the tire pressure weekly trends for each car.

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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It merely restates the tool's purpose without detailing the return format, aggregation method, time period, or any other behavioral trait. It is not misleading but adds little beyond the tool name.

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 a single, focused sentence with no redundant words. It is front-loaded with the key action ('get') and resource, making it easy to scan. 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?

The tool has no parameters and an output schema exists, so the description need not explain return values. However, it lacks context about what 'weekly trends' entails (e.g., time window, units, vehicle grouping). This is a minimally viable description but leaves some gaps for an agent to disambiguate.

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 tool has zero parameters, and the input schema is empty (100% coverage). Per the rubric, the baseline is 4 when there are no parameters, and the description does not need to add parameter details. The description adds no parameter-specific information, but none is needed.

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?

The description clearly states the tool's function: 'Get the tire pressure weekly trends for each car.' It uses a specific verb ('get'), identifies the resource ('tire pressure weekly trends'), and scopes it to 'each car.' This distinguishes it from sibling tools focused on battery, charging, or driving patterns.

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?

The description provides no guidance on when to use this tool over alternatives or any exclusion criteria. While the sibling tools cover different domains, no explicit usage context is given, leaving the agent to infer applicability from the name alone.

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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