특정 조문의
AI agents call trace_article_application to retrieve information from Taxlaw Nts without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves tax law article application information without modifying, deleting, or executing external operations. It fits the 'Read' category as a data retrieval/query function. Severity is low because misuse would only expose information already in a public database, with no destructive or financial consequences.
From the tool's definition Tool name 'trace_article_application' and server description indicate this retrieves tax law data (traces application of specific articles).
Attacks that exploit this kind of access
특정 조문의. It is categorised as a Read tool in the Taxlaw Nts MCP Server, which means it retrieves data without modifying state.
Register the Taxlaw Nts MCP server in PolicyLayer and add a rule for trace_article_application: 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 Taxlaw Nts. Nothing to install.
trace_article_application is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the trace_article_application 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 trace_article_application. 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.
trace_article_application is provided by the Taxlaw Nts MCP server (kim-go-chon/taxlaw-nts-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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