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 t...
Part of the Leaper Vision Toolkit MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use pat_match_set_pat_center 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 pat_match_set_pat_center 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:
pat_match_set_pat_center:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Leaper Vision Toolkit policy for all 169 tools.
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.
Add a rule in your Intercept YAML policy under the tools section for pat_match_set_pat_center. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.
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 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 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). 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