AI agents call get_prompt to retrieve information from Micro without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or generates prompts based on user input analysis—a read operation that queries data and returns prompt suggestions. No data is created, modified, deleted, or external commands executed. This is a straightforward information retrieval capability with no side effects.
From the tool's definition Tool name 'get_prompt' and description '分析用户需求,获取micro-app问答/编写代码提示词' (Analyze user requirements, retrieve micro-app Q&A/code writing prompts) indicate retrieval/query of pre-existing prompt templates without modifying data or triggering external operations.
Documented attack patterns abuse exactly the kind of access get_prompt gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Micro, and nothing reaches the server without passing your rules. This is the rule we recommend for get_prompt:
{
"version": "1",
"default": "deny",
"tools": {
"get_prompt": {}
}
} get_prompt is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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分析用户需求,获取micro-app问答/编写代码提示词. It is categorised as a Read tool in the Micro MCP Server, which means it retrieves data without modifying state.
Register the Micro MCP server in PolicyLayer and add a rule for get_prompt: 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 Micro. Nothing to install.
get_prompt 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 get_prompt 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 get_prompt. 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.
get_prompt is provided by the Micro MCP server (jd-opensource/microapp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Micro, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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3 Micro tools catalogued and risk-classified — across an index of 43,000+ MCP servers.