AI agents call requirement_clarifier to retrieve information from AI Develop Assistant without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool analyzes user requirements and generates clarification questions. This is fundamentally a read/query operation — it reads input, processes it, and produces output (questions). There is no indication of writing, executing, or destructive action. The description mentions no persistence or side effects, though sibling tools like 'requirement_manager' likely handle storage.
From the tool's definition 智能需求澄清助手 - 深度分析用户需求，生成高质量澄清问题 (Intelligent requirement clarification assistant - deeply analyzes user requirements and generates high-quality clarification questions)
Documented attack patterns abuse exactly the kind of access requirement_clarifier gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AI Develop Assistant, and nothing reaches the server without passing your rules. This is the rule we recommend for requirement_clarifier:
{
"version": "1",
"default": "deny",
"tools": {
"requirement_clarifier": {}
}
}requirement_clarifier is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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智能需求澄清助手 - 深度分析用户需求，生成高质量澄清问题. It is categorised as a Read tool in the AI Develop Assistant MCP Server, which means it retrieves data without modifying state.
Register the AI Develop Assistant MCP server in PolicyLayer and add a rule for requirement_clarifier: 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 AI Develop Assistant. Nothing to install.
requirement_clarifier 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 requirement_clarifier 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 requirement_clarifier. 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.
requirement_clarifier is provided by the AI Develop Assistant MCP server (jiemobasixiangcai/ai-develop-assistant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AI Develop Assistant, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 AI Develop Assistant tools catalogued and risk-classified — across an index of 43,000+ MCP servers.