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Generate Monthly Driving Report

generate_monthly_driving_report

Generate a Markdown monthly driving report with emojis from TeslaMate data, covering trips, charging, efficiency, and costs for a chosen vehicle and month.

Instructions

Generate a polished Markdown monthly driving report with Emoji.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
car_idNoFilter by vehicle ID (default: TESLA_CAR_ID env or first car)
target_monthNoMonth in 'YYYY-MM' format. Defaults to previous month. Example: "2026-03" for March 2026.
electricity_priceNoRMB/kWh fallback when cost is not recorded (default: 0.5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
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 of behavioral disclosure. It does not state whether the report is saved to a file, returned as text, the format details beyond Markdown and Emoji, whether it requires authentication, or whether it has any side effects. For a report generation tool with no annotations and an output schema, this is a significant gap.

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?

A single, efficient sentence that is front-loaded and wastes no words. It is appropriately sized for a simple report generation tool, though it could be slightly more informative without losing conciseness.

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?

Given no annotations, an output schema, and several similar monthly report siblings, the description is incomplete. It does not clarify the tool's uniqueness, its output format beyond 'Markdown with Emoji', or any behavioral traits. An agent would struggle to choose this over tesla_monthly_report or tesla_monthly_summary.

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 description coverage is 100%, so the schema already fully documents all three parameters including defaults and formats. The description adds no parameter information beyond what the schema provides. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Generate a polished Markdown monthly driving report with Emoji.' The agent knows it produces a monthly driving report in Markdown. However, it does not distinguish from siblings like tesla_monthly_report or tesla_monthly_summary, leaving ambiguity about which monthly report tool to use.

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?

There is no guidance on when to use this tool versus tesla_monthly_report, tesla_monthly_summary, or other reporting tools. No prerequisites or context are provided. The description only states what it does, not when it is appropriate.

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