Search local information on Naver
AI agents call search_local to retrieve information from Naver MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries local information from Naver's services without side effects. It follows the Read category pattern of search/retrieval operations that do not create, modify, delete, or execute actions. The low severity reflects minimal risk—misuse would only result in retrieving unwanted information, not causing harm or damage.
From the tool's definition Tool name 'search_local' and description 'Search local information on Naver' indicate a query/retrieval operation.
Attacks that exploit this kind of access
Search local information on Naver. It is categorised as a Read tool in the Naver MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Naver MCP Server MCP server in PolicyLayer and add a rule for search_local: 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 Naver MCP Server. Nothing to install.
search_local 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 search_local 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 search_local. 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.
search_local is provided by the Naver MCP Server MCP server (pfldy2850/py-mcp-naver). 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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