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start_climate

Starts the vehicle's climate system and battery preconditioning, automatically waking the car if it is asleep.

Instructions

Starts the climate system and begins preconditioning the battery — auto-wakes if asleep

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinNoVehicle Identification Number (VIN). Defaults to TESSIE_DEFAULT_VIN env var if set.
max_attemptsNoMaximum retry attempts
wait_for_completionNoWait for the command to complete before returning
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses a useful behavioral trait: 'auto-wakes if asleep'. It also notes that it begins battery preconditioning. However, it does not mention potential side effects, authentication needs, or response behavior, which are gaps for a mutation tool.

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 a single, well-front-loaded sentence that states the action and a key behavior. Every word adds value and there is no fluff or repetition.

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 simple command with no output schema and fully documented parameters, the description is nearly complete. It covers the primary purpose and a critical behavioral nuance (auto-wake). The only missing context is what the tool returns or any preconditions beyond wake state, but these are not essential for basic selection and invocation given the schema coverage.

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%: all three parameters already have descriptions. The tool description itself does not add any parameter-level context, so the baseline of 3 is appropriate.

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

Purpose5/5

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

The description uses a specific verb ('Starts') and identifies the resource ('climate system') plus a key nuance ('begins preconditioning the battery'). It clearly distinguishes from sibling tools like 'stop_climate' and 'set_temperatures', and the auto-wake behavior adds precision.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context about what the tool does, implying when it should be used (when the user wants to start climate control). However, it does not explicitly mention alternatives like 'stop_climate' for turning off or 'set_temperatures' for adjusting target temps, so it lacks explicit when-not-to-use guidance.

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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