Both vertically and horizontally oriented edges are represented by bright pixels. 全梯度，水平和垂直边缘在输出图像中均表现为较亮的像素。 Provides image edge enhancement functionality for full gradient. 提供了图像边缘增强的功能，在全梯度。 Returns a serialized JSON string with properties: ResultImg (output result image URL). 返回结构是一个序列化的json，...
AI agents use edge_filter_gradient_full 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.
This tool creates modified image data (edge-filtered output) as a reversible transformation. It does not execute arbitrary code, delete data, or access external systems—it applies a deterministic image filter algorithm. The modification is reversible (can be undone by reprocessing the original), so it falls under Write rather than Destructive. Blast radius is limited to the generated output image artifact.
From the tool's definition Tool performs image transformation/processing ('edge_filter_gradient_full', 'image edge enhancement', 'returns output result image URL') that modifies image data. The description states it processes images to produce enhanced edge-detected output.
Attacks that exploit this kind of access
Both vertically and horizontally oriented edges are represented by bright pixels. 全梯度，水平和垂直边缘在输出图像中均表现为较亮的像素。 Provides image edge enhancement functionality for full gradient. 提供了图像边缘增强的功能，在全梯度。 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_full 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_full: 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_full 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_full 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_full. 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_full 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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