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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool gets trend indices, implying a read-only operation, but does not mention any important behavioral traits such as rate limits, authentication requirements, data freshness, or whether results are cached. The description is too sparse to adequately inform an agent about side effects or limitations.

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 very short at one sentence, which could be acceptable if it were complete, but it omits crucial details about parameters and usage. It lacks structure such as separate sections for behavior or examples. The brevity results in under-specification rather than conciseness.

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 tool has 3 unannotated parameters, no output schema, and no parameter descriptions, the description is severely incomplete. It does not explain what the output looks like (e.g., time series data), how to interpret the trend indices, or the role of the parameters. For a tool with such sparse structured metadata, the description must provide comprehensive context, which it fails to do.

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 compensate by explaining the parameters. However, the description only mentions 'for a keyword' but does not elaborate on the 'period' or 'category' parameters, nor does it provide any format, allowed values, or examples. This fails to add meaning beyond the bare schema property names.

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 clearly states that the tool retrieves Naver search trend indices for a keyword, specifically for viral detection in K-beauty/K-food. The verb 'Get' and resource 'search trend indices' are explicit, and the mention of 'Naver' distinguishes it from general Google trends. However, it does not differentiate from sibling tools like 'get_kbeauty_ingredients' or 'search_korean_products' beyond the specific use case.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description implies a use case for viral detection in K-beauty/K-food but does not mention other scenarios or compare with sibling tools like 'get_kbeauty_ingredients' or 'search_korean_products'. There is no 'when not to use' or mention of prerequisites.

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