设置直线定位工具所使用的是否基于区域中的最大梯度值归一化直线分数，并返回设置完成的直线定位工具的功能调用的对象。 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)。这两个属性的值可以从前处理的MCP工具的返回值中获取。LpvClassName 表示直线定位工具的功能调用的对象名称，目前名称应为：ILLineDetector (直线定位工具的功能相关对象); InputParameterFile 表示直线定位工具的功能调用的对象的参数文件名称。
AI agents use il_line_detector_set_norm_score 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 |
|---|---|---|---|
normScore | boolean | — | 是否基于区域中的最大梯度值归一化直线分数，传入类型为 bool 类型。 |
InputParameterFile | string | — | 指定的 ILLineDetector 类的文件地址，调用工具函数需要传入的参数文件名称。在调用此工具前要保证前处理中一定要有且仅有一次的 ILLineDetector 初始化工具调用。这个属性的值需要从前处理的MCP工具的返回值 InputParameterFile 字段中获取。 |
Parameters from the server's own tool schema.
The tool modifies configuration state for an image processing pipeline—specifically normalization behavior of a line detection algorithm. While it doesn't delete data (Destructive) or directly execute code (Execute), it does create/modify configuration that affects downstream processing. This fits Write category as a reversible configuration change.
From the tool's definition Tool name and description indicate it 'sets' (配置/sets) normalization score parameters for a line detector tool.
Attacks that exploit this kind of access
设置直线定位工具所使用的是否基于区域中的最大梯度值归一化直线分数，并返回设置完成的直线定位工具的功能调用的对象。 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)。这两个属性的值可以从前处理的MCP工具的返回值中获取。LpvClassName 表示直线定位工具的功能调用的对象名称，目前名称应为：ILLineDetector (直线定位工具的功能相关对象); InputParameterFile 表示直线定位工具的功能调用的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.
il_line_detector_set_norm_score accepts 2 parameters: normScore, InputParameterFile. 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 il_line_detector_set_norm_score: 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.
il_line_detector_set_norm_score 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 il_line_detector_set_norm_score 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 il_line_detector_set_norm_score. 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.
il_line_detector_set_norm_score 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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