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Get user settings

get_user_settings
Read-only

Read the connected user’s preferences, unit choices, and custom vehicle makes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesTuneWorks MCP tool name that produced this result.
userNo
countNo
listsNo
setupsNo
statusYesResult status such as ok, created, updated, sent, auth_required, or confirmation_required.
sessionsNo
vehiclesNo
maintenanceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds the returned scope (preferences, units, custom vehicle makes), which is mild added value, but with a dedicated output schema already documenting the response, it contributes little beyond annotations.

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?

A single front-loaded sentence with the verb first and no filler. Every word earns its place and nothing is redundant.

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?

With an output schema covering return values, full annotation coverage, and no parameters, the description is nearly sufficient as stated. It could be slightly richer by noting any auth or account-binding requirement, but for a simple current-user read it is adequate.

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 takes zero parameters, so the baseline of 4 applies; there is nothing for the description to clarify about inputs, and it correctly implies no arguments are needed.

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 gives a specific verb ("Read") and resource ("the connected user's preferences, unit choices, and custom vehicle makes"), making the scope of the tool clear. It does not explicitly name or contrast with near siblings such as update_user_preferences or update_unit_settings, so it falls short of the 5-level sibling differentiation.

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: the phrase "the connected user's" signals this is a parameter-free read of the current user, which an agent can infer is the retrieval counterpart to the update_* tools. There is no explicit when-to-use, when-not-to-use, or named alternative.

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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