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

Annotations already establish that this is a safe, read-only, idempotent operation, so the description does not need to restate safety. It adds useful context by disclosing the field categories included in the returned list and the data source (국가법령정보센터). It does not mention ordering, pagination, or what an empty result means, which keeps it below a 5.

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 compact sentence with the core purpose front-loaded, followed by the relevant field categories and source. Every element earns its place 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?

With no parameters and rich safety annotations, the main remaining need is to communicate what the list contains, which the description does by naming the field categories. It does not specify the return structure or ordering, but for a simple read-only list this is nearly 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 tool has zero parameters, so there is no parameter semantics to explain. The baseline for a parameterless tool is 4, and the description does not introduce unnecessary parameter-like details.

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-resource pair in Korean: it lists the Korean laws tracked by the voting system. It also names the returned fields (effective date, promulgation date, comparison date, tracked articles, scheduled amendments), making the purpose clear. It does not explicitly distinguish itself from siblings such as get_statute or law_changelog, so it falls short of a 5.

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?

There is no explicit guidance on when to use this tool versus alternatives like get_statute, law_changelog, or search. The phrase '투표함이 추적하는' implies the scope is limited to tracked laws, but the description never says to use this list to discover laws before fetching one with get_statute.

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