Low Risk

server_health

返回 server 健康状态: Python 版本、mcp SDK 版本、

How to control server_health ↓

AI agents call server_health to retrieve information from DBJavaGenix without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool passively queries and reports server metadata (Python version, SDK version, and implicitly other diagnostic data). It performs no modifications, executions, or destructive operations. It is a Read operation with minimal blast radius if misused—an agent could only gather diagnostic information, not alter system state or data.

From the tool's definition Tool name 'server_health' and description indicate it 'returns server health status: Python version, mcp SDK version' — a diagnostic query operation that retrieves status information with no side effects.

Documented attack patterns abuse exactly the kind of access server_health gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and DBJavaGenix, and nothing reaches the server without passing your rules. This is the rule we recommend for server_health:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "server_health": {}
  }
}

server_health is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register DBJavaGenix — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the server_health tool do? +

返回 server 健康状态: Python 版本、mcp SDK 版本、. It is categorised as a Read tool in the DBJavaGenix MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on server_health? +

Register the DBJavaGenix MCP server in PolicyLayer and add a rule for server_health: 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 DBJavaGenix. Nothing to install.

What risk level is server_health? +

server_health is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit server_health? +

Yes. Add a rate_limit block to the server_health 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.

How do I block server_health completely? +

Set action: deny in the PolicyLayer policy for server_health. 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.

What MCP server provides server_health? +

server_health is provided by the DBJavaGenix MCP server (zhaoxingpeng/dbjavagenix). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DBJavaGenix tool call.

Deterministic rules across all 33 DBJavaGenix tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

33 DBJavaGenix tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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