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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only lookup via '조회', but says nothing about authentication requirements, whether it hits an external vendor API, rate limits, or how results are ordered or paginated.

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 with no filler. It is efficient, though it packs three concepts (inputs, filter specs, purchase links) into one dense clause.

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 simple two-parameter lookup with no output schema, the description covers the essentials of what goes in and roughly what comes out. With zero annotations and zero schema documentation, however, it leaves auth, error behavior, and result shape entirely unaddressed.

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. It does map the two inputs conceptually ('차종' → model_name, '연식' → year), which is more than the bare schema offers, but it gives no format or range hints (e.g., whether year is a 4-digit integer, how model names are spelled).

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 names a specific verb (조회/lookup) and two concrete resources (맞춤 필터 규격 / 구매 링크) scoped to a car model and year. That is enough to distinguish it from siblings like check_environment or submit_b2b_inquiry, though the branded term '씨고 카세이프' is opaque to an outside agent.

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 when-to-use guidance, no prerequisites, and no mention of alternatives among the sibling tools. The agent must infer that this is a product-lookup step from context alone.

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