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lnkLsOrdJo_search

Read-onlyIdempotent

Search local ordinance articles linked to specific national law provisions. Find which ordinances implement or relate to a given law article.

Instructions

Search ordinance articles linked to law articles (연계 법령별 조례 조문 목록 조회).

This tool searches local ordinance articles that are linked to specific national law articles. Shows which local ordinances implement or relate to specific law provisions.

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" knd: Law type code (to filter by specific law) jo: Article number (4 digits, zero-padded). Examples: "0002" (Article 2), "0020" (Article 20), "0100" (Article 100) jobr: Branch article suffix (2 digits, zero-padded). Examples: "00" (main article), "02" (Article X-2) sort: Sort order ctx: MCP context (injected automatically)

Returns: Search results with linked ordinance articles or error

Examples: Search ordinances linked to 건축법 시행령: >>> lnkLsOrdJo_search(knd="002118", type="XML")

Search specific article (제20조):
>>> lnkLsOrdJo_search(knd="002118", jo=20, type="XML")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
joNo
ocNo
kndNo
jobrNo
pageNo
sortNo
typeNoJSON
queryNo*
displayNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds valuable behavior details beyond annotations: parameter formatting (zero-padded jo and jobr), recommended display size, response format options, and the return type ('Search results with linked ordinance articles or error'). This enriches understanding without contradicting annotations.

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

Conciseness5/5

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

The description is well-structured with a concise summary, a labeled Args section, Returns, and Examples. Every sentence contributes useful information, and the format is front-loaded with the core purpose. It is detailed without being bloated.

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

Completeness5/5

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

For a 9-parameter tool with no output schema, the description thoroughly covers all parameter semantics, return behavior, and usage examples. It explains the search scope, formatting rules, and even includes a note about display size for exact matches. The only missing detail is the internal structure of results, which is not required given the output schema absence is mitigated by the description's clarity.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining every parameter, including defaults, formatting constraints, and examples. For instance, it specifies 'jo: Article number (4 digits, zero-padded)' with examples and recommends display=50-100. This is exemplary parameter documentation.

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 local ordinance articles that are linked to specific national law articles' using a specific verb and resource. This differentiates it from generic ordinance or law search tools by emphasizing the linkage aspect, as seen in sibling names like 'ordin_search' or 'law_search'.

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 when to use the tool (e.g., finding ordinances implementing specific law provisions) and includes concrete examples like searching by knd and jo. However, it does not explicitly name alternative tools or state when not to use it, which would push it to 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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