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

No annotations are provided, so the description carries the full load and does reasonably well: it discloses the machine-translation caveat ('check the official page'), the per-call price and payment rails (x402, USDC on Base or Solana), and the KST time basis. It omits rate limits, error/empty-result behavior, and whether payment is required per request or per session.

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?

Front-loaded with the use condition, then input, output, caveat, example, and price in that order, with no filler sentences. The example query is compressed to ?q=AI&limit=5 rather than a prose walkthrough.

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 output schema, the description responsibly enumerates returned fields (Korean title, official link, published time, English brief with title_en/summary_en/agency_en/category/key_points) and the translation caveat. What remains thin is failure behavior and freshness/latency of the 'latest' feed.

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 coverage is 100%, so the baseline is 3, but the description adds real meaning: q accepts Korean or English, date must be YYYY-MM-DD in KST, and limit is bounded 1-20 with default 5 (the schema only says 'default 5' with no range). That extra constraint is the kind of detail an agent cannot get from the structured fields.

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?

States a specific verb and resource: tracking South Korean government policy, regulation, and draft legislation, in English with briefs. That scope is separable from siblings like kr_filings, kr_filing_summary, and kr_bok_ecos_series without opening any schema.

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?

Opens with an explicit 'Use when...' condition naming the tracking use case, and the example query shows a concrete invocation. It stops short of naming when-not conditions or the sibling tools an agent should prefer for corporate filings or economic series.

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