Display the blob analysis results. 这是针对斑点的图像的交互工具，并返回标记斑点后的图片。 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 i...
AI agents call display_blob_analysis to retrieve information from Leaper Vision Toolkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
imageUrl | string | — | 图片的url地址，通过这个地址获取到图片 |
regionClassObjDescriptionJson | string | — | 指定的Roi区域。如果用户没有指定区域，请直接传入 "null"。 如果用户指定区域，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 InputParameterFile(调用工具函数需要传入的参数文件名称)。这两个属性的值可以从前处理的MCP工具的返回值中获取。LpvCl |
blobAnalysisClassObjDescriptionJson | string | — | 传入一个序列化的JSON字符串,使ILBlobAnalysis类型的描述JSON 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)。这两个属性的值可以从MCP工具[斑点分析工具]返回的数据的返回值中获取。 LpvClassNam |
Parameters from the server's own tool schema.
This tool performs image analysis and displays/returns results — it reads and processes an image to detect blobs and returns a marked image URL. There are no write, execute, destructive, or financial side effects described. It is a visualization/query tool with read-only semantics.
From the tool's definition Display the blob analysis results... returns marked blob image URL (ResultImg属性是标记输入图像斑点标记后的图片URL地址)
Attacks that exploit this kind of access
Display the blob analysis results. 这是针对斑点的图像的交互工具，并返回标记斑点后的图片。 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属性是标记输入图像斑点标记后的图片URL地址. It is categorised as a Read tool in the Leaper Vision Toolkit MCP Server, which means it retrieves data without modifying state.
display_blob_analysis accepts 3 parameters: imageUrl, regionClassObjDescriptionJson, blobAnalysisClassObjDescriptionJson. 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 display_blob_analysis: 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.
display_blob_analysis is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the display_blob_analysis 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 display_blob_analysis. 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_blob_analysis 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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