高通滤波工具，相对于梯度更一致的区域，增强图像中的边。 Apply a high-pass filter to the input image to enhance edges. High-pass filter emphasizes regions with strong gradients and reduces consistent areas. 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。
AI agents invoke il_image_filter_high_pass 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 |
|---|---|---|---|
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 processes an input image by applying a high-pass filter algorithm and returns a transformed output image URL. It executes an image processing operation with computational side effects (transformation of image data), rather than simply reading/retrieving existing data or writing/storing user-created content.
From the tool's definition Apply a high-pass filter to the input image to enhance edges. High-pass filter emphasizes regions with strong gradients and reduces consistent areas.
Attacks that exploit this kind of access
高通滤波工具，相对于梯度更一致的区域，增强图像中的边。 Apply a high-pass filter to the input image to enhance edges. High-pass filter emphasizes regions with strong gradients and reduces consistent areas. 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 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_image_filter_high_pass 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_high_pass: 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_high_pass 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_image_filter_high_pass 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_high_pass. 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_high_pass 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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