get_unusual_power_consumption

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 and identifies anomalies, implying a read-only operation, but doesn't clarify aspects like whether it requires authentication, how anomalies are defined (e.g., thresholds, algorithms), rate limits, or what 'unusual' means contextually. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 highly concise and front-loaded, consisting of two clear sentences that directly state the tool's function and added value (anomaly identification). Every word earns its place without redundancy or fluff, making it easy for an agent to parse quickly.

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 exists (so return values are documented elsewhere), the description is minimally adequate. It explains what the tool does but lacks details on behavioral traits (e.g., how anomalies are detected) and usage context. For a diagnostic tool with no annotations, it should provide more guidance on interpretation or limitations to be fully complete.

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 there's no need for parameter documentation in the description. The description appropriately avoids discussing parameters, focusing instead on the tool's purpose. A baseline of 4 is applied as it doesn't add unnecessary param info, but it doesn't reach 5 since it doesn't enhance schema understanding (which is already complete).

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 ('unusual power consumption for each car'), and adds context about identifying anomalies. It distinguishes itself from siblings by focusing on power consumption anomalies rather than summaries, averages, or other metrics. However, it doesn't explicitly differentiate from all possible siblings (e.g., 'get_battery_health_summary' might overlap in detecting issues).

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 identifying anomalies 'that might indicate issues,' which implies a diagnostic context, but doesn't specify prerequisites, timing, or compare it to other tools like 'get_battery_health_summary' or 'get_current_car_status' that might also flag problems. Without explicit when-to-use or when-not-to-use instructions, the agent must infer usage.

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