Get server status and health information
AI agents call server_status to retrieve information from MCP Data Visualization Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a non-destructive information retrieval tool. It queries the server for health metrics and status data, producing no side effects, no data modifications, and no external operations. It falls squarely into the Read category with low severity due to minimal impact if misused—an agent could at worst spam status checks, which has negligible blast radius.
From the tool's definition Tool name 'server_status' and description 'Get server status and health information' indicate a query operation that retrieves diagnostic data without modifying state or triggering external operations.
Documented attack patterns abuse exactly the kind of access server_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Data Visualization Server, and nothing reaches the server without passing your rules. This is the rule we recommend for server_status:
{
"version": "1",
"default": "deny",
"tools": {
"server_status": {}
}
} server_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get server status and health information. It is categorised as a Read tool in the MCP Data Visualization Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Data Visualization Server MCP server in PolicyLayer and add a rule for server_status: 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 MCP Data Visualization Server. Nothing to install.
server_status 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 server_status 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 server_status. 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.
server_status is provided by the MCP Data Visualization Server MCP server (xoniks/mcp-visualization-duckdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Data Visualization Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 MCP Data Visualization Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.