Vertically oriented edges are represented by bright pixels. 垂直梯度，垂直边缘在输出图像中表现为较亮的像素。 Provides image edge enhancement functionality for vertical gradient. 提供了图像边缘增强的功能，在垂直梯度。 Returns a serialized JSON string with properties: ResultImg (output result image URL). 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 invoke edge_filter_gradient_v 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输入图像 |
edgeFilterClassObjDescriptionJson | string | — | 用于图像边缘增强的功能调用的对象。如果用户没有指定图像边缘增强的功能相关对象，请调用EdgeFilterNew方法创建一个图像边缘增强的功能调用的对象后传入。 如果用户指定图像边缘增强的功能相关对象，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 InputParamet |
Parameters from the server's own tool schema.
This tool processes an input image by applying a vertical gradient edge filter and returns a new output image URL. It performs a computational image transformation operation (not merely reading existing data, but executing a filter pipeline to produce new output), making Execute the most appropriate category. Blast radius is low as it only processes images with no destructive or financial side effects.
From the tool's definition Provides image edge enhancement functionality for vertical gradient... Returns a serialized JSON string with properties: ResultImg (output result image URL)
Attacks that exploit this kind of access
Vertically oriented edges are represented by bright pixels. 垂直梯度，垂直边缘在输出图像中表现为较亮的像素。 Provides image edge enhancement functionality for vertical gradient. 提供了图像边缘增强的功能，在垂直梯度。 Returns a serialized JSON string with properties: ResultImg (output result image URL). 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.
edge_filter_gradient_v accepts 2 parameters: imageUrl, edgeFilterClassObjDescriptionJson. 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 edge_filter_gradient_v: 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.
edge_filter_gradient_v 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 edge_filter_gradient_v 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 edge_filter_gradient_v. 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.
edge_filter_gradient_v 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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