Scale a region while keeping the center point unchanged. 缩放当前ROI区域，生成一个新的ROI区域对象，保持区域中心点不变。 The region is scaled by the specified factors in X and Y directions. 区域按X和Y方向的指定比例进行缩放。 Note: Non-uniform scaling is not supported for LCircleRegion or LAnnulusRegion objects. 注意：对于 LCircleRegion 或 LAnnulu...
AI agents invoke il_region_scale to trigger actions in Leaper Vision Toolkit. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
factorX | number | — | x 方向的缩放比例 (double类型) |
factorY | number | — | y 方向的缩放比例 (double类型) |
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 |
Parameters from the server's own tool schema.
The tool executes image processing operations based on parameters provided. While not destructive—the operation is reversible and doesn't permanently alter original data—it performs computational transformation that depends on user-supplied scale factors, which constitutes execution of image manipulation logic.
From the tool's definition Scales a region by specified factors in X and Y directions, generating a new ROI region object. The tool performs computational transformation on image processing parameters based on input arguments (scale factors).
Attacks that exploit this kind of access
Scale a region while keeping the center point unchanged. 缩放当前ROI区域，生成一个新的ROI区域对象，保持区域中心点不变。 The region is scaled by the specified factors in X and Y directions. 区域按X和Y方向的指定比例进行缩放。 Note: Non-uniform scaling is not supported for LCircleRegion or LAnnulusRegion objects. 注意：对于 LCircleRegion 或 LAnnulusRegion 对象，不支持非等比缩放。 并输出一个新的ROI区域对象(ILRegion类型)的描述JSON。 其中输出的ROI区域类型与输入区域相同. It is categorised as a Execute tool in the Leaper Vision Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
il_region_scale accepts 3 parameters: factorX, factorY, regionClassObjDescriptionJson. 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_scale: 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_scale is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the il_region_scale 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_scale. 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_scale 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.
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