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

With no annotations provided, the description carries the full disclosure burden, yet it says nothing about result shape, pagination, default/max result counts, or whether an empty query returns everything. The one genuinely useful disclosure is '발행된' (published), which implies only published items are indexed. That single implicit filter is not enough for a 4-parameter search tool with zero annotation coverage.

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?

A single, front-loaded sentence enumerating the content types with no filler or repetition. It is efficient, though the brevity is partly the source of the coverage gaps rather than a virtue in itself.

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?

No output schema, no annotations, and 0% parameter description coverage mean the description should do far more: query matching semantics, category meaning, result ordering, and pagination are all absent. For a unified search tool with an enum type switch and no required params, an agent cannot predict behavior from this text alone.

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 0%, so the description must explain the four parameters, but it only loosely gestures at the `type` enum by listing content kinds. It says nothing about what `query` matches, what `category` refers to, or the behavior of `limit` (default 10, max 50), leaving the agent to read the raw schema.

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 pairs a specific verb (통합 검색) with a clearly enumerated resource set — published blog reports, original web novels, webtoons, and video episodes — so an agent knows exactly what corpus is covered. It never names a sibling tool to differentiate itself from, but the content-metadata scope separates it implicitly from the fact-oriented siblings like search_facts and search_verified_facts.

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 statement of when to use this tool versus the type-specific siblings (get_article_sources, list_catalog, search_facts), and no guidance on prerequisites or typical query phrasing. Only a weak implication of usage arises from the word 통합 (integrated), which hints at cross-type search but leaves the agent to infer it.

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