过滤图像噪声并保留边缘工具。 Smooth out image noise while retaining sharp edges. The smoothness of the denoising process is controlled by kernel sigma value with recommended value in 0.01 ~ 0.1. 用户没有指定滤波相关参数时，必须设置默认参数：通过ILImageFilter_SetKernelSigma设置滤波核平滑度=0.01，加速算法运行的系数4。 返回结构是一个序列化的json，其中： ResultImg属性是输出结果图...
AI agents use il_image_filter_edge_preserve_denoise 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 |
refImageUrl | string | — | 边缘信息图片的url地址，通过这个地址获取到图片，如果用户没有指定图像，请直接传入 "null" 。用于为降噪过程提供需要保留边缘的大致位置和强度。该图像尺寸需与输入图像相同。 |
speedupFactor | integer | — | 加速算法运行的系数，传入类型为int类型，用于加速算法运行的系数，推荐使用核尺寸的因数 |
InputParameterFile | string | — | 指定的 ILImageFilter 类的文件地址，调用工具函数需要传入的参数文件名称。在调用此工具前要保证前处理中一定要有且仅有一次的 ILImageFilter 初始化工具调用。这个属性的值需要从前处理的MCP工具的返回值 InputParameterFile 字段中获取。 |
Parameters from the server's own tool schema.
This tool modifies image data by applying filters and denoising algorithms. While it transforms image content, the operation is non-destructive and reversible—the original image remains unchanged and the output is a processed variant. This fits the Write category (modifies data reversibly) rather than Read (no modifications) or Execute (does not run arbitrary code or shell commands).
From the tool's definition Tool applies image filters and denoising transformations, producing modified output images stored as URLs.
Attacks that exploit this kind of access
过滤图像噪声并保留边缘工具。 Smooth out image noise while retaining sharp edges. The smoothness of the denoising process is controlled by kernel sigma value with recommended value in 0.01 ~ 0.1. 用户没有指定滤波相关参数时，必须设置默认参数：通过ILImageFilter_SetKernelSigma设置滤波核平滑度=0.01，加速算法运行的系数4。 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。. 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_filter_edge_preserve_denoise accepts 4 parameters: imageUrl, refImageUrl, speedupFactor, InputParameterFile. 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_filter_edge_preserve_denoise: 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_filter_edge_preserve_denoise 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_filter_edge_preserve_denoise 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_filter_edge_preserve_denoise. 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_filter_edge_preserve_denoise 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 →