Customize the center of the pattern template. 修改模板匹配结果中心的设置方式。 By default, we use the template image center as pattern center. 默认设置为使用模板图像的中心作为匹配结果中心。 The template center indicates the report position of the matching result. 匹配结果将基于配置方式输出不同的中心点坐标。 For example, if the template center is moved to t...
AI agents use pat_match_set_pat_center 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 |
|---|---|---|---|
patX | number | — | 若使用自定义位置，输入该位置的 x 坐标 duoble 数字类型，默认可传0 ，如使用默认值请告知用户。 |
patY | number | — | 若使用自定义位置，输入该位置的 y 坐标 duoble 数字类型，默认可传0 ，如使用默认值请告知用户。 |
patAngle | number | — | 若使用自定义位置，输入指定的角度作为 0°，默认可传0 ，如使用默认值请告知用户。 |
centerMode | string | — | 匹配结果中心的设置方式的字符串,有以下几种可能： LPVPatImageCenter 表示 使用模板图像的中心作为匹配结果的中心，其角度为 0°。 LPVPatTrainedCenter 表示 使用训练得到的中心作为匹配结果的中心，使用训练特征的包围旋转矩形的角度作为 0°。 LPVPatCustomCen |
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 modifies pattern matching template configuration settings, which changes how subsequent operations behave. While it doesn't delete or execute arbitrary code, it does persistently alter image processing parameters. This is a Write operation because it creates or modifies configuration state reversibly.
From the tool's definition Tool description states: 'Customize the center of the pattern template' and 'we'll then always report the same left-top corner as the matching result' — this modifies configuration settings for pattern matching behavior.
Attacks that exploit this kind of access
Customize the center of the pattern template. 修改模板匹配结果中心的设置方式。 By default, we use the template image center as pattern center. 默认设置为使用模板图像的中心作为匹配结果中心。 The template center indicates the report position of the matching result. 匹配结果将基于配置方式输出不同的中心点坐标。 For example, if the template center is moved to the left-top corner of the template image, we'll then always report the same left-top corner as the matching result. 如若设置匹配图像的左上角点作为中心，所有的匹配结果将总是输出相同的左上角位置作为中心。 如果别的工具需要修改后的模板匹配的功能对象，可以使用当前对象Json。 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 表示模板匹配的功能对象名称，目前名称应为：ILMatch (模板匹配的功能对象); InputParameterFile 表示模板匹配的功能对象的参数文件名称。. 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.
pat_match_set_pat_center accepts 5 parameters: patX, patY, patAngle, centerMode, 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_set_pat_center: 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_set_pat_center 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 pat_match_set_pat_center 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_set_pat_center. 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_set_pat_center 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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