Add two regions together. 将当前ROI区域和输入的ROI区域相加。 The new region contains all parts from both input regions. 新的区域包含当前区域和输入区域中所包含的所有部分。 This operation is equivalent to the Union operation. 此操作与 Union() 操作相同。 If a non-empty region is added with an empty region, a copy of the original region is returne...
AI agents use il_region_add to create or update resources in Leaper Vision Toolkit — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Leaper Vision Toolkit environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
regionClassObjDescriptionJson | string | — | 原始的Roi区域。传入一个序列化的JSON字符串，属性包括：LpvClassName(调用工具函数的名称) 和 InputParameterFile(调用工具函数需要传入的参数文件名称)。这两个属性的值可以从前处理的MCP工具的返回值中获取。LpvClassName 表示要调用的Region接口名称，根据不同的区域类型 |
otherRegionClassObjDescriptionJson | string | — | 输入用于相加的ROI区域。，传入一个序列化的JSON字符串，属性包括：LpvClassName(调用工具函数的名称) 和 InputParameterFile(调用工具函数需要传入的参数文件名称)。这两个属性的值可以从前处理的MCP工具的返回值中获取。LpvClassName 表示要调用的Region接口名称，根据不同 |
Parameters from the server's own tool schema.
This tool performs a region union operation that creates a new composite region object from two input regions. It is a reversible write operation that generates new data (the combined region) without destructive side effects. The operation modifies no external state permanently and can be undone by discarding the result.
From the tool's definition The tool description states it adds/combines two regions and outputs "a new composite ROI region object" - this is a create operation that produces a new data structure.
Attacks that exploit this kind of access
Add two regions together. 将当前ROI区域和输入的ROI区域相加。 The new region contains all parts from both input regions. 新的区域包含当前区域和输入区域中所包含的所有部分。 This operation is equivalent to the Union operation. 此操作与 Union() 操作相同。 If a non-empty region is added with an empty region, a copy of the original region is returned. 一个非空区域与空区域相加，获得该区域对象的拷贝。 并输出一个新的复合ROI区域对象(ILCompoundRegion类型)的描述JSON。 其中ILCompoundRegion类型继承于ILRegion类型. It is categorised as a Write tool in the Leaper Vision Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
il_region_add accepts 2 parameters: regionClassObjDescriptionJson, otherRegionClassObjDescriptionJson. The full parameter table on this page comes from the server's own tool schema.
Register the Leaper Vision Toolkit MCP server in PolicyLayer and add a rule for il_region_add: 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 Leaper Vision Toolkit. Nothing to install.
il_region_add is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the il_region_add 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 il_region_add. 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.
il_region_add is provided by the Leaper Vision Toolkit MCP server (leaper-mcp/leaper-mcp-proxy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →