Display the line detection results. 这个是针对直线定位的图像的交互工具，并返回检测和定位直线后的图片。 This interface provide functionalities of the display control. 该接口提供显示控件功能。 Usually you add the display control via the Toolbox in Visual Studio. 通常可通过 Visual Studio 的工具箱，将显示控件加入到应用程序窗口中。 This interface helps you to manage t...
Part of the Leaper Vision Toolkit MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use display_line_detector to create or modify resources in Leaper Vision Toolkit. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call display_line_detector repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Leaper Vision Toolkit.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
display_line_detector:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Leaper Vision Toolkit policy for all 169 tools.
Display the line detection results. 这个是针对直线定位的图像的交互工具，并返回检测和定位直线后的图片。 This interface provide functionalities of the display control. 该接口提供显示控件功能。 Usually you add the display control via the Toolbox in Visual Studio. 通常可通过 Visual Studio 的工具箱，将显示控件加入到应用程序窗口中。 This interface helps you to manage the scene in the display control, for the image, regions, geometric primitives and algorithms' results to shown in the control. 该接口提供管理显示窗口内场景的功能，用于设置场景中的图像，增加删除场景中的 region、几何形状和算法结果等。 返回结构是一个序列化的json，其中： ResultImg属性是检测和定位直线后的图片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.
Add a rule in your Intercept YAML policy under the tools section for display_line_detector. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.
display_line_detector 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 display_line_detector 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 display_line_detector. 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.
display_line_detector 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