get_daily_battery_usage_patterns

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool 'Analyzes battery consumption patterns,' implying a read-only operation, but doesn't cover critical aspects like data freshness, rate limits, authentication needs, or output format. This leaves significant gaps in understanding how the tool behaves in practice.

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 and efficient, using two concise sentences that directly state the tool's purpose and analysis scope without any redundant or unnecessary information. Every sentence earns its place by contributing to understanding the tool's function.

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 the tool's complexity (implied analysis of patterns), no annotations, and an output schema present, the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, usage context, or what the output entails, relying on the output schema to fill in return values. This leaves room for improvement in completeness.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds no parameter information, which is appropriate here, but it doesn't compensate for any gaps since there are none. A baseline of 4 is applied as it meets the requirement for a tool with no 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 clearly states the tool's purpose with a specific verb ('Get') and resource ('daily battery usage patterns for each car'), and distinguishes it from siblings like 'get_daily_driving_patterns' by focusing on battery consumption rather than driving. However, it doesn't explicitly differentiate from all siblings, such as 'get_battery_health_summary' or 'get_unusual_power_consumption', which might overlap in battery-related analysis.

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. It mentions analyzing 'battery consumption patterns throughout the day' but doesn't specify contexts, prerequisites, or exclusions, leaving the agent to infer usage from the purpose alone without explicit direction.

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