List all revisions of a law within a date range (법령 개정 이력 조회). Shows when and how a law was amended over time. Use the MST values from the results with article_amendment_diff to see specific article changes. Args: law_name: Law name (e.g., "근로기준법") date_from: Start date YYYYMMDD (default "2010010...
Part of the Korean Law Search server.
Free to start. No card required.
AI agents invoke law_amendment_summary to trigger processes or run actions in Korean Law Search. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
law_amendment_summary can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"law_amendment_summary": {
"limits": [
{
"counter": "law_amendment_summary_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Korean Law Search policy for all 54 tools.
These attack patterns abuse exactly the kind of access law_amendment_summary gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
List all revisions of a law within a date range (법령 개정 이력 조회). Shows when and how a law was amended over time. Use the MST values from the results with article_amendment_diff to see specific article changes. Args: law_name: Law name (e.g., "근로기준법") date_from: Start date YYYYMMDD (default "20100101") date_to: End date YYYYMMDD (default "20261231") oc: Optional OC override type: Response format - "JSON" (default), "XML", or "HTML" Returns: List of revisions with dates, types, and MST identifiers Examples: >>> law_amendment_summary(law_name="근로기준법", date_from="20200101") >>> law_amendment_summary(law_name="민법", date_from="20150101", date_to="20251231"). It is categorised as a Execute tool in the Korean Law Search MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Korean Law Search MCP server in PolicyLayer and add a rule for law_amendment_summary: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Korean Law Search. Nothing to install.
law_amendment_summary is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the law_amendment_summary rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for law_amendment_summary. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
law_amendment_summary is provided by the Korean Law Search MCP server (rabqatab/lexlink-ko-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 54 Korean Law Search tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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