Get the prune mask. 获取特征点剔除蒙版。 The prune mask shows which features have been excluded from the pattern. 特征点剔除蒙版显示哪些特征已被从模板中排除。 It will be an empty image, if the template has been pruned. 若当前模板没有进行特征点剔除，则返回一个空的图像。 返回结构是一个序列化的json，其中： ResultImg属性是特征点剔除蒙版图像的图片URL地址
AI agents call pat_match_get_pat_prune_mask 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 |
|---|---|---|---|
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 retrieves and returns existing mask data (which features have been excluded from a pattern). It performs a query operation that reads the current state of a pruning mask without modifying, deleting, or executing any external operations. The response is informational only—an image URL of the mask visualization.
From the tool's definition Tool description states it 'Get[s] the prune mask' and 'return[s]...a serialized json' containing an image URL. The verb 'get' and the nature of returning a mask visualization indicate data retrieval with no modifications or side effects.
Attacks that exploit this kind of access
Get the prune mask. 获取特征点剔除蒙版。 The prune mask shows which features have been excluded from the pattern. 特征点剔除蒙版显示哪些特征已被从模板中排除。 It will be an empty image, if the template has been pruned. 若当前模板没有进行特征点剔除，则返回一个空的图像。 返回结构是一个序列化的json，其中： ResultImg属性是特征点剔除蒙版图像的图片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.
pat_match_get_pat_prune_mask accepts 1 parameter: 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_prune_mask: 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_prune_mask 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_prune_mask 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_prune_mask. 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_prune_mask 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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