tesla_charging_by_location

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

With no annotations, the description alone must convey behavioral traits. It only states the output topic (patterns by location) but omits whether it is read-only, data recency, or access requirements. As a data retrieval tool, its safety profile (non-destructive) is implied but not explicit.

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?

A single sentence is concise and front-loaded with the key action 'charging patterns by location'. It avoids fluff, though the second half 'where you charge and how much' adds specificity. It loses a point for being slightly telegraphic.

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 zero parameters and an existing output schema, the description provides a basic understanding of the tool's purpose. However, it does not explain what 'patterns' means (e.g., time ranges, averages) or whether the data is aggregated. The output schema likely covers return format, so this is adequate but not rich.

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?

There are zero parameters and schema coverage is 100% (trivially). The description does not need to explain parameters. The baseline for no-parameter tools is 4, and the description meets that by not requiring additional param info.

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?

The description clearly identifies the tool as providing charging patterns broken down by location, specifying 'where you charge and how much'. This distinguishes it from sibling tools like tesla_charging_history (time-based) or tesla_efficiency (energy efficiency). However, 'patterns' is somewhat vague and could mean different aggregations.

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?

No guidance is provided on when to use this tool versus alternatives. Given many charging-related siblings (e.g., tesla_charging_history, tesla_charge_start), the agent would benefit from explicit differentiation. The description lacks context for selection.

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