DescribePendingVulList
[incident] 漏洞修复报表查询详情列表,私有化调用path为：/capi/DeviceSecurity/Vulnerability/DescribePendingVulList
This record as markdown: /tools/ioacloud-ioacloud-mcp/describependingvullist.md
What DescribePendingVulList does on Ioacloud
AI agents call DescribePendingVulList to retrieve information from Ioacloud without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
Cond | object | — | 查询过滤条件 |
GroupId | number | — | 终端分组ID(只支持32位) |
DeviceRange | string | — | 设备范围 |
OnlineStatus | number | — | 在线状态(只支持32位) |
DomainInstanceId | string | — | 管理域实例ID，用于CAM管理域权限分配 |
Parameters from the server's own tool schema.
Why DescribePendingVulList is rated Low
Even though DescribePendingVulList only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (29 properties)
Attacks that exploit this kind of access
The rule that runs DescribePendingVulList safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ioacloud, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For DescribePendingVulList, this is the rule to start with:
DescribePendingVulList is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ioacloud, apply this rule, and every DescribePendingVulList call is checked against it from then on.
Questions about DescribePendingVulList
[incident] 漏洞修复报表查询详情列表,私有化调用path为：/capi/DeviceSecurity/Vulnerability/DescribePendingVulList. It is categorised as a Read tool in the Ioacloud MCP Server, which means it retrieves data without modifying state.
DescribePendingVulList accepts 5 parameters: Cond, GroupId, DeviceRange, OnlineStatus, DomainInstanceId. The full parameter table on this page comes from the server's own tool schema.
Register the Ioacloud MCP server in PolicyLayer and add a rule for DescribePendingVulList: 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 Ioacloud. Nothing to install.
DescribePendingVulList 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 DescribePendingVulList 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 DescribePendingVulList. 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.
DescribePendingVulList is provided by the Ioacloud MCP server (@ioacloud/ioacloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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