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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds only the word '무료' (free), duplicated as '[무료]', which weakly signals no cost is incurred but says nothing about what is returned, whether quotas are per-account, or how limits are expressed. With the bar lowered by annotations, this still contributes almost nothing behavioral.

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 short and front-loaded, but the fragment '무료. [무료]' is redundant filler that repeats the same token twice and adds no information. One clean sentence would have sufficed.

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?

For a zero-parameter, read-only info tool this is a low-complexity case, and annotations cover the safety profile. Still, with no output schema, the description should hint at what the response contains (quota figures, limits, links to terms) — as written an agent cannot predict the return value.

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 takes zero parameters and the schema is trivially complete, so there is nothing for the description to clarify. Baseline 4 applies since no parameter semantics are needed or missing.

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 verb ('확인합니다' / check) and names a resource ('웹 무료 체험과 공개 API의 AI 이용 기준'), so the general intent is graspable. However, the resource is ambiguous relative to the tool name 'document_quota': it is unclear whether this returns quota/limit numbers, pricing tiers, or policy terms, and nothing distinguishes it from the large set of document_* siblings.

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 guidance on when an agent should call this versus related tools like document_quote or document_assist, and no stated preconditions. The scope hint ('웹 무료 체험과 공개 API') describes coverage, not when-to-use, so the agent must infer the trigger entirely.

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