get_efficiency_by_month_and_temperature

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 merely restates the purpose and discloses no behavioral traits such as read-only status, data scope, aggregation logic, or limitations. The description adds no context beyond the basic function.

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 a single sentence of 11 words, front-loaded with the verb and clearly structured. It contains no filler or redundancy, every word adds meaning.

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?

The tool is simple with zero parameters and an output schema exists, so return values are covered. The description adequately conveys the core purpose and scope. It could benefit from noting data range or aggregation details, but these are not essential for invocation given the low complexity.

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 has zero parameters and the schema is empty, so the baseline is 4. The description adds no parameter details, which is acceptable because there are no parameters to explain. The mention of 'by month and temperature' refers to output dimensions, not input parameters.

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 uses a specific verb 'Get' and clearly identifies the resource 'efficiency' along with the dimensions 'month' and 'temperature' and scope 'for each car'. This distinguishes it from sibling tools like get_average_efficiency_by_temperature, which is aggregated, and get_monthly_driving_summary, which is about driving summaries.

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 description provides no guidance on when to use this tool versus alternatives, no mention of context, and no exclusions. It does not say whether to prefer this over get_average_efficiency_by_temperature for per-car details or when to use it. The user must rely on the tool name alone, which is insufficient.

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