Tesla Cars

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

With no annotations, the description carries the full burden, but this is an inherently safe zero-parameter read, so there is little risk to disclose. It does describe the returned fields (ID, name, model, VIN, efficiency), though that overlaps with the output schema. No auth, rate-limit, or error behavior is mentioned.

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?

Three short sentences, front-loaded with the core action and ending on actionable usage guidance. The middle sentence listing return fields is partly redundant given an output schema exists, but it is brief and does no real harm.

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?

For a simple zero-parameter read tool with an output schema and no annotations, the description covers purpose, returned content, and the downstream car_id handoff. Little more is required for an agent to invoke it correctly.

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 tool takes zero parameters, so the baseline is 4. There is nothing for the description to clarify beyond what the empty schema already conveys.

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 — 'List all vehicles registered in TeslaMate' — and names the identity fields returned. It does not explicitly contrast itself with any sibling, but its purpose as the vehicle-enumeration entry point is unambiguous among the many analytical Tesla 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?

The closing sentence 'Use the car_id with other tools to query a specific vehicle' gives workflow context, implying this tool should be called first to obtain IDs. However, it never states when to use this versus alternatives or any prerequisite conditions, so guidance is implied rather than explicit.

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