Medium Risk

modify_response

修改答卷数据。当前仅支持修改考试问卷的主观题分数(type=1)。answers 为 JSON 字符串,格式 {题号: 分数}。【重要】题号规则:answers 中的键是内部题号(q_index * 10000),不是题目序号。例如第1题的内部题号是10000,第2题是20000。可先通过 query_responses 查询答卷明细获取正确的内部题号。

Part of the Wjx server.

modify_response 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_response 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_response 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_response": {
      "limits": [
        {
          "counter": "modify_response_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access modify_response 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_response 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_response tool do? +

修改答卷数据。当前仅支持修改考试问卷的主观题分数(type=1)。answers 为 JSON 字符串,格式 {题号: 分数}。【重要】题号规则:answers 中的键是内部题号(q_index * 10000),不是题目序号。例如第1题的内部题号是10000,第2题是20000。可先通过 query_responses 查询答卷明细获取正确的内部题号。. 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_response? +

Register the Wjx MCP server in PolicyLayer and add a rule for modify_response: 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_response? +

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

Can I rate-limit modify_response? +

Yes. Add a rate_limit block to the modify_response 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_response completely? +

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

modify_response 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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