分析用戶需求並檢測是否需要蘇格拉底面試 檢測需求中的模糊點、邏輯漏洞和潛在災難場景， 如果發現問題則自動生成蘇格拉底式問題。 Args: user_input: 用戶的系統需求描述 Returns: JSON 格式的分析結果，包含是否需要面試和問題列表
AI agents call analyze_requirement_trap to retrieve information from Bluemouse without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a static analysis and validation tool that reads and examines user requirements to identify issues and generate follow-up questions. It retrieves information, performs pattern matching against the failure database, and produces a report. There are no data modifications, code executions, deletions, or financial implications.
From the tool's definition The tool 'analyze_requirement_trap' analyzes user input and detects ambiguous points, logic gaps, and potential disaster scenarios. It returns analysis results in JSON format including whether an interview is needed and a list of questions.
Documented attack patterns abuse exactly the kind of access analyze_requirement_trap gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bluemouse, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_requirement_trap:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_requirement_trap": {}
}
}analyze_requirement_trap is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
分析用戶需求並檢測是否需要蘇格拉底面試 檢測需求中的模糊點、邏輯漏洞和潛在災難場景， 如果發現問題則自動生成蘇格拉底式問題。 Args: user_input: 用戶的系統需求描述 Returns: JSON 格式的分析結果，包含是否需要面試和問題列表. It is categorised as a Read tool in the Bluemouse MCP Server, which means it retrieves data without modifying state.
Register the Bluemouse MCP server in PolicyLayer and add a rule for analyze_requirement_trap: 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 Bluemouse. Nothing to install.
analyze_requirement_trap 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 analyze_requirement_trap 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 analyze_requirement_trap. 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.
analyze_requirement_trap is provided by the Bluemouse MCP server (peijun1700/bluemouse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Bluemouse tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
8 Bluemouse tools catalogued and risk-classified — across an index of 42,500+ MCP servers.