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Glama

Preview situation

get_preview
Read-only

Retrieves the vehicle preview state, including ambient light color, brightness and mode, climate settings, air distribution, status messages, readiness, start-stop, and switched-off lights or vents.

Instructions

What the car reports in the preview: ambient light colour, brightness and mode; climate preset, fan, temperatures, air (cooling / venting / heating) and automatic distribution; car status messages, readiness and start-stop; lights or vents switched off.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_preview"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds scope detail by enumerating what the preview surfaces (ambient light, climate, readiness, off states), but it never says whether these are live values or a static snapshot, or how it relates to set_preview — meaningful gaps for a 'preview' concept.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single dense sentence with no filler, but it is not front-loaded with an action or purpose statement — the reader gets a bare colon-led inventory before knowing what the tool does. A leading clause such as 'Retrieves the preview snapshot reported by the car…' would make it far more scannable.

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

Completeness3/5

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

With no output schema, the description carries the full burden of explaining return values, and it does enumerate the reported categories reasonably well. It nonetheless omits structure and units (temperature scale, brightness range) and any indication of ordering or completeness, leaving the agent with a topic list rather than a usable picture of the response.

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 and the schema is empty, so there is nothing for the description to disambiguate. Baseline 4 applies; the content listing is about returns, not inputs.

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?

The description enumerates the specific content of the preview (light colour, climate, car status, switched-off items), which does distinguish it from siblings like get_state and get_scene_data. However, it is framed as a noun-phrase content listing ('What the car reports in the preview:') with no explicit verb, so an agent must infer that the tool retrieves a read-only preview snapshot rather than describing a state or performing an action.

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 call this instead of the closely related siblings (get_state, get_scene_data, status, get_parking_data, get_energy_data). The presence of a set_preview sibling suggests a read/write pairing worth mentioning, but the description never states it or any prerequisite.

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