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

No annotations are provided, so the description carries the disclosure burden. It does add useful behavior: returns per-year results and deltas vs 2026, amounts in DKK, and estimates rather than official valuations. However, it omits details about default assumptions, required inputs, or how optional EV-related parameters affect 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?

Four short sentences are front-loaded with the core scope, then output, units, and caveat. Every sentence adds unique information and there is no filler.

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 9-parameter schema, missing output schema, and lack of annotations, the description is too thin: it explains what is returned but not how to populate the optional parameters or when this tool should be used instead of its siblings. A competent agent would still need to infer or probe for required EV inputs.

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?

Schema description coverage is only 56% and several parameters (aaben, isElectric, totalvaegt) are undocumented. The description names no parameters and does not clarify which inputs are needed for EV versus conventional vehicles, so it fails to compensate for the schema's gaps.

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 states a specific verb ('Project'), resource ('DANISH registration tax'), scope ('NEW vehicle'), and timeframe ('rules-years 2026–2029'). The multi-year framing distinguishes it from the sibling calculate_registreringsafgift, which implies a single/current-year calculation.

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 intended use is only implied: it is for forecasting registration tax across future rule-years and for new vehicles, with a caveat that results are estimates. It does not explicitly state when to choose this over calculate_registreringsafgift or get_afgift_rates, nor give exclusions.

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