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Glama

Tesla Tpms History

tesla_tpms_history

Retrieve recent Tesla TPMS pressure history from TeslaMate, showing average and min/max readings by tire position over a date range to monitor tire health.

Instructions

Recent TPMS pressure history from TeslaMate.

Shows the average and min/max pressures recorded in positions table. Note: TeslaMate only stores positions during drives/charging, not while parked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days to look back (default: 30)
car_idNoFilter by vehicle ID (default: TESLA_CAR_ID env or first car)
end_dateNoFilter TPMS until this date (YYYY-MM-DD), defaults to today
start_dateNoFilter TPMS from this date (YYYY-MM-DD), overrides days param

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden and does add a genuinely useful behavioral trait: data is only recorded during drives/charging, not while parked. This is real context that prevents misinterpretation of sparse results. It stops short of stating read-only nature or any auth/rate-limit behavior.

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?

Three tight sentences, front-loaded with the core purpose, then output content, then the key caveat. Every sentence earns its place and nothing is padded.

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?

Output schema exists, so return values needn't be spelled out, and the data-availability caveat covers the main trap for a read-only history tool. It is largely complete, though it would benefit from explicit sibling routing to tesla_tpms_status.

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 all four parameters (days, car_id, start_date, end_date) are already documented in the schema, including the start_date override of days. The description adds no syntax or format detail beyond that, so the baseline 3 applies.

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?

States a specific verb+resource (TPMS pressure history) and clarifies the data source (TeslaMate positions table) plus what it reports (average and min/max pressures). The 'history' framing implicitly distinguishes it from the sibling tesla_tpms_status, but it never names or contrasts that sibling explicitly.

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?

Usage is only implied through the 'history' scope and the caveat about when data exists. There is no explicit when-to-use/when-not guidance and no routing to alternatives such as tesla_tpms_status for current readings, so the agent must infer the choice.

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