这个是归一化输入图像，拉伸指定的最小最大值范围内的像素到目标数值范围的工具。不改变图像位深，归一化后的结果图像与输入位深相同、通道数相同。对于彩色的多通道图像，输出也是彩色多通道图像，每个通道分别独立进行归一化。 工具不需要通过其它工具设置参数，不需要传入ILImageOp的对象。 返回结构是一个序列化的json，其中： ResultImg属性是输出结果图像URL地址。 belowMask属性是入图图像中超出感兴趣数值范围的像素的蒙版地址。白色像素表示这些位置的数值小于 fromMinValue 或者大于 fromMaxValue 。可基于该蒙版，将这些位置的数值设置为统一个黑色或目标的...
AI agents use il_image_op_normalize 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 |
|---|---|---|---|
imageUrl | string | — | 图片的url地址，通过这个地址获取到图片 |
toMaxValue | number | — | 指定目标的数值范围，传入类型为double类型。表示使用图像位深的理论数值范围的最大值，对于 8 位图使用 0 ~ 255，对于 16 位图使用 0 ~ 65535 |
toMinValue | number | — | 指定目标的数值范围，传入类型为double类型。表示使用图像位深的理论数值范围的最小值，对于 8 位图使用 0 ~ 255，对于 16 位图使用 0 ~ 65535 |
fromMaxValue | number | — | 指定感兴趣的数值范围，传入类型为double类型。表示使用当前图像的最大值。 |
fromMinValue | number | — | 指定感兴趣的数值范围，传入类型为double类型。表示使用当前图像的最小值。 |
Parameters from the server's own tool schema.
This tool creates modified image data (Write category) rather than merely reading it (Read) or executing arbitrary code (Execute). The transformation is reversible—the original image can be recovered or the operation undone. It does not delete data (Destructive), execute arbitrary external operations (Execute), or handle financial transactions (Financial).
From the tool's definition Tool performs image normalization that modifies pixel values within specified ranges and outputs a transformed image (ResultImg).
Attacks that exploit this kind of access
这个是归一化输入图像，拉伸指定的最小最大值范围内的像素到目标数值范围的工具。不改变图像位深，归一化后的结果图像与输入位深相同、通道数相同。对于彩色的多通道图像，输出也是彩色多通道图像，每个通道分别独立进行归一化。 工具不需要通过其它工具设置参数，不需要传入ILImageOp的对象。 返回结构是一个序列化的json，其中： ResultImg属性是输出结果图像URL地址。 belowMask属性是入图图像中超出感兴趣数值范围的像素的蒙版地址。白色像素表示这些位置的数值小于 fromMinValue 或者大于 fromMaxValue 。可基于该蒙版，将这些位置的数值设置为统一个黑色或目标的最小最大值，或调用 FillHole() 进行修补。 aboveMask属性是入图图像中超出感兴趣数值范围的像素的蒙版地址。白色像素表示这些位置的数值小于 fromMinValue 或者大于 fromMaxValue 。可基于该蒙版，将这些位置的数值设置为统一个黑色或目标的最小最大值，或调用 FillHole() 进行修补。. 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_image_op_normalize accepts 5 parameters: imageUrl, toMaxValue, toMinValue, fromMaxValue, fromMinValue. 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_image_op_normalize: 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_image_op_normalize 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_image_op_normalize 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_image_op_normalize. 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_image_op_normalize 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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