锐化，使得图像中的边缘更锐利、纹理更清晰。 锐化效果的强度由滤波核的尺寸、 #KernelSigma 和 #KernelGain 值控制。 Emphasize texture and make the edges crisper and better defined. The strength of the sharpening effect is controlled by the kernel's size, #KernelSigma and #KernelGain value. 用户没有指定滤波相关参数时，不要调用设置参数的插件，传入的ILImageFilter 类的文件中已经设置...
AI agents use il_image_filter_sharpen 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 |
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 初始化工具的调用。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 performs image processing that modifies pixel data through convolution filtering. The effects are reversible (original image unchanged, new filtered version created), and there are no destructive deletions, code execution on systems, financial impacts, or external command invocations. It fits Write category as it creates/modifies image data in a non-destructive manner.
From the tool's definition Tool description states it applies image sharpening filters to enhance edges and texture clarity. The operation modifies image data (applies filters, adjusts kernel parameters like KernelSigma and KernelGain) and returns a processed image URL as output.
Attacks that exploit this kind of access
锐化，使得图像中的边缘更锐利、纹理更清晰。 锐化效果的强度由滤波核的尺寸、 #KernelSigma 和 #KernelGain 值控制。 Emphasize texture and make the edges crisper and better defined. The strength of the sharpening effect is controlled by the kernel's size, #KernelSigma and #KernelGain value. 用户没有指定滤波相关参数时，不要调用设置参数的插件，传入的ILImageFilter 类的文件中已经设置了滤波相关的默认参数。 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_sharpen accepts 2 parameters: imageUrl, 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_sharpen: 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_sharpen 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_sharpen 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_sharpen. 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_sharpen 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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