Tesla Weather

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

With no annotations, the description carries the full burden and does useful work: it discloses required QWEATHER_API_KEY and QWEATHER_API_HOST environment variables, says missing credentials return a friendly hint, and states that it changes nothing else. This effectively communicates read-only behavior and a failure mode, though it does not mention rate limits or permissions explicitly.

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

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

The description is front-loaded with the core purpose, then details the weather fields, relationship to outside_temp, and credential requirements. It is appropriately sized for a simple one-parameter tool, with only minor overhead such as the Chinese provider name.

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

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

Given one optional parameter, 100% schema coverage, and an existing output schema, the description is largely complete: it explains what is fetched, where the location comes from, and what happens without API credentials. The main gap is stronger guidance on when to select it over related sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter, car_id, is fully described in the schema as a vehicle ID filter with a default from TESLA_CAR_ID or the first car. The description adds no additional parameter-level meaning beyond that schema description, so this is the baseline adequate score for high schema coverage.

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

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

States a specific verb and resource: fetch current weather at the vehicle's latest GPS location, via QWeather. It also gives rich returned fields and notes that it complements TeslaMate's single outside_temp sensor, making its scope distinguishable from generic status or weather-efficiency tools.

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

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

Usage is implied by the description: use it when current, detailed weather at the car's location is needed, especially to supplement the simple outside_temp sensor. However, it does not explicitly say when to choose this over siblings such as tesla_efficiency_by_weather or tesla_location_history, and it provides no exclusions.

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