get_daily_driving_patterns

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Get[s]' data, implying a read-only operation, but doesn't clarify aspects like authentication needs, rate limits, data freshness, or whether it aggregates historical data. The description adds minimal context beyond the basic purpose, missing key behavioral traits for a tool with no annotation support.

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 two concise sentences that efficiently convey the tool's purpose and output focus. The first sentence states the action and resource, and the second elaborates on the data's nature. There is no wasted language, and it is front-loaded with the core functionality.

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 has 0 parameters, 100% schema coverage, and an output schema, the description is minimally adequate. It explains what the tool does and the type of data returned, but with no annotations and many sibling tools, it lacks guidance on usage and behavioral details. The output schema likely covers return values, so the description's focus on semantics is sufficient, but overall completeness is limited by the missing context for selection and operation.

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% description coverage, so no parameter documentation is needed. The description doesn't discuss parameters, which is appropriate given the schema's completeness. It adds value by explaining the output's focus on 'driving habits and patterns by day of week and time', which helps the agent understand the return data's structure beyond what the output schema might provide.

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: 'Get the daily driving patterns for each car' specifies the verb (get) and resource (daily driving patterns for each car). It distinguishes from siblings by focusing on driving habits by day/time, unlike tools for charging, efficiency, or battery health. However, it doesn't explicitly differentiate from 'get_daily_battery_usage_patterns' or 'get_drive_summary_per_day', which might overlap in scope.

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 'driving habits and patterns by day of week and time' but doesn't specify use cases, prerequisites, or exclusions. With many sibling tools (e.g., 'get_daily_battery_usage_patterns', 'get_drive_summary_per_day'), the lack of explicit comparison leaves the agent guessing about the best choice.

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