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lnkLs_search

Read-onlyIdempotent

Search Korean laws linked to local ordinances to see how national regulations relate to local laws.

Instructions

Search laws linked to local ordinances (법령-자치법규 연계 목록 조회).

This tool searches Korean laws that have linkages to local ordinances. Useful for understanding how national laws relate to local regulations.

Args: query: Search keyword (default "*") display: Number of results per page (max 100, default 20). Recommend 50-100 for law searches (법령 검색) to ensure exact matches are found. page: Page number (1-based, default 1) oc: Optional OC override (defaults to env var) type: Response format - "JSON" (default), "XML", or "HTML" sort: Sort order - "lasc"|"ldes"|"dasc"|"ddes"|"nasc"|"ndes" ctx: MCP context (injected automatically)

Returns: Search results with linked laws list or error

Examples: Search for "자동차관리법": >>> lnkLs_search(query="자동차관리법", type="XML")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ocNo
pageNo
sortNo
typeNoJSON
queryNo*
displayNo
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so safety is covered. The description adds the scope (linked laws list) and return format but lacks deeper behavioral details like pagination behavior, authorization needs, or rate limits. This is comparable to the mid-tier example where the description adds modest context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections for purpose, arguments, returns, and an example. It is somewhat lengthy, but each section earns its place given the need to document parameters manually. It is front-loaded with the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With six parameters and no output schema, the description does a solid job covering purpose, parameter semantics, return values, and an example. It lacks a bit of detail on sort meanings and alternative use cases, but overall it is quite complete for a search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description explains every parameter in the Args section, including defaults, limits, and a recommendation for display. It adds meaning beyond the bare schema, though sort codes are merely listed without explanation, preventing a higher score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches Korean laws linked to local ordinances, using a specific verb and resource. It distinguishes itself from sibling search tools by emphasizing the linkage focus, making its unique purpose clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for use: 'Useful for understanding how national laws relate to local regulations.' However, it does not explicitly mention when not to use the tool or name alternative tools, so it falls short of a 5.

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

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