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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds domain scope and notes the args are optional (already implied by the 0 required params) but says nothing about result count behavior beyond limit, pagination, or freshness – adequate but not rich.

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 domain and the search action, then a bilingual restatement plus examples. The KO/EN duplication and trailing 'all arguments are optional' note are mildly redundant but the whole thing stays compact and readable.

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 4-param read-only search with full schema coverage, the description gives enough domain context to invoke correctly. It omits return-shape/ordering expectations, but with no output schema and exhaustive parameter docs this is a minor gap rather than a blocking one.

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 100%, so each of the four parameters (brand, query, region, limit) is already documented with examples in the schema. The description only alludes to job types generally and adds no syntax, format, or matching-semantics detail beyond the schema, so baseline 3 applies.

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 (검색/search) and resource (active retail job postings) with concrete scope – luxury boutiques, department stores, duty-free in Korea – and lists example roles/brands. It implies but never names the sibling tools (get_job, get_salary_benchmark), so differentiation is left to inference from the narrow domain.

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?

Usage is implied: the agent understands it should call this to find postings, and it notes all arguments are optional. But there is no explicit guidance on when to prefer this over get_job or get_salary_benchmark, no filter-combination advice, and no exclusions.

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