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mikeysrecipes

TeslaMate MCP Server

get_daily_driving_patterns

Analyze daily driving behavior for each Tesla vehicle, offering insights into trip frequency, durations, and distances from TeslaMate data.

Instructions

Get the daily driving patterns 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?

No annotations are provided, so the description must carry the burden of behavioral disclosure. It merely states the retrieval action without addressing permissions, data aggregation, time ranges, or any other behavioral traits. The output schema covers return format, but the description adds no transparency beyond the basic function.

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 concise sentence with no wasted words. It is front-loaded and easily parsed, making it appropriately sized for a simple parameterless tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although the tool is simple and an output schema exists, the description is too terse to clarify what constitutes 'daily driving patterns' or how it differs from related metrics like drive summaries or battery usage patterns. This makes it incomplete for an agent choosing among many sibling tools.

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 zero parameters, and the baseline for 0 params is 4. The description adds no parameter information, but none is needed given the empty schema.

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 the tool gets 'daily driving patterns' for 'each car', using a specific verb and resource. However, it does not differentiate from similar siblings like get_daily_battery_usage_patterns or get_drive_summary_per_day, leaving the exact meaning of 'patterns' ambiguous.

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 given on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, or exclusions. With over a dozen sibling tools covering related driving/efficiency metrics, the lack of direction is a notable gap.

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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