根据整库表名 + FK 关系推荐 template_category (Default/MybatisPlus/MybatisPlus-Mixed/sb35-java21)
AI agents call ai_recommend_template 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.
This tool analyzes database schema metadata (table names and foreign key relationships) to suggest an appropriate code generation template category. It performs schema introspection and returns a recommendation—a classic read operation with no side effects, no code execution, and no data modification.
From the tool's definition Tool description indicates it 'recommends template_category' based on 'library table names + FK relationships'.
Documented attack patterns abuse exactly the kind of access ai_recommend_template 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 ai_recommend_template:
{
"version": "1",
"default": "deny",
"tools": {
"ai_recommend_template": {}
}
}ai_recommend_template is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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根据整库表名 + FK 关系推荐 template_category (Default/MybatisPlus/MybatisPlus-Mixed/sb35-java21). It is categorised as a Read tool in the DBJavaGenix MCP Server, which means it retrieves data without modifying state.
Register the DBJavaGenix MCP server in PolicyLayer and add a rule for ai_recommend_template: 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.
ai_recommend_template 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 ai_recommend_template 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 ai_recommend_template. 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.
ai_recommend_template 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.
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.