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Get parking-climate-timer

get_parking_climate_timer
Read-only

Check your Polestar's scheduled parking climate timer settings, including ready-at time, weekdays, repeat flag, and activation status.

Instructions

Scheduled parking-climate timers: ready-at hour, weekdays, repeat flag, activation. (M2M endpoint: /v1/vehicles/{vin}/charging/parking-climate-timer, scope pdp-charging/parkingClimateTimer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawNoReturn the full raw API payload instead of (or after) the humanized summary. Unchanged upstream content: it carries the VIN even when POLESTAR_REDACT_VIN is on.
vinNoVehicle Identification Number. Optional when the credential has exactly one vehicle, omit it and the only vehicle is used.
delegated_account_idNoThird-party credentials only: read the shared vehicles of this account for this call. Must be listed in POLESTAR_DELEGATED_ACCOUNT_IDS.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesFalse when the call produced no data.
vinNoVehicle the result is about, masked when POLESTAR_REDACT_VIN is on.
codeNoMachine-readable error code when ok is false.
dataNoStructured payload; shape documented per tool.
hintNoActionable guidance when ok is false.
toolNoTool that produced this result.
messageYesResult text, identical to the content block.
requestIdNoUpstream request id, the handle support needs.
ageSecondsNoStaleness of the underlying telemetry.
httpStatusNoUpstream HTTP status when ok is false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds meaningful context by naming the exact M2M endpoint and required OAuth scope, which helps the agent understand the access context. It adds no contradictory behavior claims.

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 two compact sentences with the core purpose first and the endpoint/scope appended without fluff. Each sentence earns its place.

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?

For a read-only, zero-required-parameter fetch with a full output schema and complete parameter schema, the description is largely sufficient. It adds the endpoint and scope while annotations cover safety. The only mild gap is the lack of an explicit sibling pointer, already accounted for under usage guidance.

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?

The input schema covers 100% of the parameters with detailed descriptions, so the description is not required to add parameter-level meaning. The tool description itself adds no extra detail about raw, vin, or delegated_account_id.

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 identifies the resource ('scheduled parking-climate timers') and enumerates the returned dimensions (ready-at hour, weekdays, repeat flag, activation), so an agent knows what data it will get. It is clear enough but does not explicitly separate this from the similarly named sibling get_parking_climatization.

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?

The description implies the use case (reading scheduled parking-climate timer configuration) and includes the endpoint and scope, but it never states when to prefer this over get_parking_climatization or other timer tools. No alternatives or exclusions are given, so guidance is mostly inferred.

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