Medium Risk

modify_participants

[Deprecated] 批量修改用户系统中参与者的信息。users 为 JSON 数组字符串,每个对象包含: uid(参与者唯一编号,必填)、uname(姓名)、upass(密码)、udept(部门,必须是数组格式如["部门1"])、uextf(附加信息,必须是数组格式如["信息1"])。auto_create_udept 可在部门不存在时自动创建。

Part of the Wjx server.

modify_participants can modify Wjx data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use modify_participants to create or modify resources in Wjx. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call modify_participants repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Wjx.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access modify_participants gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so modify_participants only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the modify_participants tool do? +

[Deprecated] 批量修改用户系统中参与者的信息。users 为 JSON 数组字符串,每个对象包含: uid(参与者唯一编号,必填)、uname(姓名)、upass(密码)、udept(部门,必须是数组格式如["部门1"])、uextf(附加信息,必须是数组格式如["信息1"])。auto_create_udept 可在部门不存在时自动创建。. It is categorised as a Write tool in the Wjx MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on modify_participants? +

Register the Wjx MCP server in PolicyLayer and add a rule for modify_participants: 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 Wjx. Nothing to install.

What risk level is modify_participants? +

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

Can I rate-limit modify_participants? +

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

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

modify_participants is provided by the Wjx MCP server (wjx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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