Medium Risk

case_study

分析易经和八字案例

How to control case_study ↓

AI agents use case_study to create or update resources in Yijing Bazi MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yijing Bazi MCP Server environment.

Medium Risk

An AI agent can call case_study faster than any human can review — one bad instruction and it creates or modifies resources in Yijing Bazi MCP Server by the hundred, each call as confident as the last.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "case_study": {
      "limits": [
        {
          "counter": "case_study_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

case_study stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Yijing Bazi MCP Server — 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.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the case_study tool do? +

分析易经和八字案例. It is categorised as a Write tool in the Yijing Bazi MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on case_study? +

Register the Yijing Bazi MCP Server MCP server in PolicyLayer and add a rule for case_study: 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 Yijing Bazi MCP Server. Nothing to install.

What risk level is case_study? +

case_study is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit case_study? +

Yes. Add a rate_limit block to the case_study 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 case_study completely? +

Set action: deny in the PolicyLayer policy for case_study. 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 case_study? +

case_study is provided by the Yijing Bazi MCP Server MCP server (siwuxue/yijing-bazi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Yijing Bazi MCP Server tool call.

Deterministic rules across all 10 Yijing Bazi MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

10 Yijing Bazi MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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