设置直线定位工具所使用的检测的分数阈值，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_accept_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 |
|---|---|---|---|
acceptScore | integer | — | 检测的分数阈值，传入类型为 int 类型。用于删选所有边缘结果中高于该阈值的直线。可根据分数图表选择合适的阈值。 |
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.
This tool modifies configuration state (the accept score threshold) for an image processing detector, making it a Write operation. It creates/updates a configuration object that will be used by downstream processing, but does not permanently delete data or execute arbitrary code.
From the tool's definition Tool name 'il_line_detector_set_accept_score' and description indicate it 'sets' (设置) the detection score threshold for a line detection tool and 'returns' (返回) a configured object with serialized JSON containing LpvClassName and InputParameterFile properties.
Attacks that exploit this kind of access
设置直线定位工具所使用的检测的分数阈值，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_accept_score accepts 2 parameters: acceptScore, 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_accept_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_accept_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_accept_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_accept_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_accept_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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