Get the shape of trained pattern as polylines. 获取模板的形状线。 The shape is represented as polylines extracted from the trained pattern. 形状线是通过给定的形状区域提取的。 Level parameter specifies the level of required features: Level 0 (default) for level 0 of original size, 1 for level 1 in scaled size. 层级参数指定获取特征的层...
AI agents call pat_match_get_pat_shape 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 |
|---|---|---|---|
level | integer | — | 指定获取特征的层级。可能的取值有：-1 表示所有层级，0（默认值）表示原始尺度的 0 层特征，1 表示缩小尺度的 1 层特征 。 |
matchClassObjDescriptionJson | string | — | 模板匹配的功能对象用于训练模板匹配的功能。如果用户没有指定模板匹配的功能对象，请创建一个模板匹配的功能对象后传入。 如果用户指定模板匹配的功能对象，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 InputParameterFile(调用工具函数需要传入的参数文件名称)。 |
Parameters from the server's own tool schema.
This tool queries and retrieves shape data from an already-trained pattern, returning coordinate information. It performs a read-only operation with no capability to modify data, execute arbitrary operations, or cause destructive changes. The 'level parameter' merely controls the detail/scale of the retrieved features, not the action performed. This fits the 'Read' category as a data retrieval function.
From the tool's definition Tool name 'pat_match_get_pat_shape' and description state it 'Get the shape of trained pattern as polylines' and 'returns a serialized JSON string' containing polygon coordinates.
Attacks that exploit this kind of access
Get the shape of trained pattern as polylines. 获取模板的形状线。 The shape is represented as polylines extracted from the trained pattern. 形状线是通过给定的形状区域提取的。 Level parameter specifies the level of required features: Level 0 (default) for level 0 of original size, 1 for level 1 in scaled size. 层级参数指定获取特征的层级：0（默认值）表示原始尺度的 0 层特征，1 表示缩小尺度的 1 层特征。 返回结构是一个序列化的JSON字符串，jSON是一个数组，数组中的对象属性包括： Closed(多边形是否闭合) 和 Count(多边形点位数量) 和 Item(多边形点的位置的数组，数组中的对象包含X,Y属性分别代表x和y的坐标) 。. It is categorised as a Read tool in the Leaper Vision Toolkit MCP Server, which means it retrieves data without modifying state.
pat_match_get_pat_shape accepts 2 parameters: level, matchClassObjDescriptionJson. 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 pat_match_get_pat_shape: 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.
pat_match_get_pat_shape 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 pat_match_get_pat_shape 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 pat_match_get_pat_shape. 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.
pat_match_get_pat_shape 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.
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