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") ...
Part of the Korean Law Search MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
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. Intercept 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.
tools:
law_amendment_summary:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Korean Law Search policy for all 54 tools.
Agents calling execute-class tools like law_amendment_summary have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
law_amendment_summary is one of the high-risk operations in Korean Law Search. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
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.
Add a rule in your Intercept YAML policy under the tools section for law_amendment_summary. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Korean Law Search MCP server.
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 Intercept 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 Intercept 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). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept