Horizontally oriented edges are represented by bright pixels. 水平梯度，水平边缘在输出图像中表现为较亮的像素。 Provides image edge enhancement functionality for horizontal gradient. 提供了图像边缘增强的功能，在水平梯度。 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...
AI agents use edge_filter_gradient_h 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.
The edge_filter_gradient_h tool performs image transformation—applying a horizontal gradient filter to detect edges. This creates modified output (a processed image) without deleting data or executing code, fitting the Write category. The severity is low because image processing transformations are reversible, non-destructive, and have no side effects on system state or external resources.
From the tool's definition Tool processes and transforms images by applying horizontal gradient edge filtering, returning a new image result via 'ResultImg' property. The tool modifies image data (applies filters/transformations) rather than merely reading or executing arbitrary code.
Attacks that exploit this kind of access
Horizontally oriented edges are represented by bright pixels. 水平梯度，水平边缘在输出图像中表现为较亮的像素。 Provides image edge enhancement functionality for horizontal gradient. 提供了图像边缘增强的功能，在水平梯度。 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 Write tool in the Leaper Vision Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
edge_filter_gradient_h 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_h: 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_h 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 edge_filter_gradient_h 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_h. 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_h 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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