Low Risk

pat_match_get_pat_feature

Get the feature points of trained pattern. 获取模板的特征点。 The feature points are extracted from the trained template. 特征点通过给定的形状区域提取。 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 ...

Part of the Leaper Vision Toolkit MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call pat_match_get_pat_feature to retrieve information from Leaper Vision Toolkit without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though pat_match_get_pat_feature only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

leaper-mcp-leaper-mcp-proxy.yaml
tools:
  pat_match_get_pat_feature:
    rules:
      - action: allow

See the full Leaper Vision Toolkit policy for all 169 tools.

Tool Name pat_match_get_pat_feature
Category Read
Risk Level Low

View all 169 tools →

What does the pat_match_get_pat_feature tool do? +

Get the feature points of trained pattern. 获取模板的特征点。 The feature points are extracted from the trained template. 特征点通过给定的形状区域提取。 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,属性包括: Count(点位的数量) 和 Empty(是否为空,ture为空,false则不为空) 和 Item(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.

How do I enforce a policy on pat_match_get_pat_feature? +

Add a rule in your Intercept YAML policy under the tools section for pat_match_get_pat_feature. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.

What risk level is pat_match_get_pat_feature? +

pat_match_get_pat_feature is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pat_match_get_pat_feature? +

Yes. Add a rate_limit block to the pat_match_get_pat_feature 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.

How do I block pat_match_get_pat_feature completely? +

Set action: deny in the Intercept policy for pat_match_get_pat_feature. 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.

What MCP server provides pat_match_get_pat_feature? +

pat_match_get_pat_feature 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.

Enforce policies on Leaper Vision Toolkit

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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