This interface provide functionalities of edge extraction. 该接口类提供了图像边缘增强的功能。 To use this interface, you should create a LEdgeFilter object. 使用这个接口，需要创建一个 LEdgeFilter 对象。 Creates a new edge filter object for image edge enhancement. 创建一个图像边缘增强的功能调用的对象。 If other tools need the edge filter obje...
Part of the Leaper Vision Toolkit MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke edge_filter_new to trigger processes or run actions in Leaper Vision Toolkit. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
edge_filter_new can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
edge_filter_new:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Leaper Vision Toolkit policy for all 169 tools.
This interface provide functionalities of edge extraction. 该接口类提供了图像边缘增强的功能。 To use this interface, you should create a LEdgeFilter object. 使用这个接口，需要创建一个 LEdgeFilter 对象。 Creates a new edge filter object for image edge enhancement. 创建一个图像边缘增强的功能调用的对象。 If other tools need the edge filter object, they can use the current object JSON. 如果别的工具需要图像边缘增强的功能调用的对象，可以使用当前对象Json。 Returns a serialized JSON string with properties: LpvClassName (function name) and InputParameterFile (parameter file name). 返回结构是一个序列化的JSON字符串，属性包括：LpvClassName(调用工具函数的名称) 和 InputParameterFile(调用工具函数需要传入的参数文件名称)。 LpvClassName should be: ILEdgeFilter (edge enhancement function object). LpvClassName 表示图像边缘增强的功能调用的对象名称，目前名称应为：ILEdgeFilter (图像边缘增强的功能调用的对象); InputParameterFile represents the parameter file name for the edge filter object. InputParameterFile 表示图像边缘增强的功能调用的对象的参数文件名称。. 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.
Add a rule in your Intercept YAML policy under the tools section for edge_filter_new. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.
edge_filter_new 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_new rule in your Intercept 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 Intercept policy for edge_filter_new. 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_new is provided by the Leaper Vision Toolkit MCP server (leaper-mcp/leaper-mcp-proxy). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept