这是一个直线定位相关的初始化工具，初始化创建一个直线定位工具的功能调用的对象。 是所有直线定位工具下的MCP工具的初始化工具，在这些工具调用之前，都需要保证前处理调用过有且仅有一次此初始化工具。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调用的对象)。 InputParameterFile 表示 ILLineDetector 类...
AI agents use il_line_detector 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.
The tool initializes and creates a new object/resource (a line detector instance) and returns configuration data including a parameter file reference. This is a Write-level action as it creates a new object/state in the system. It does not execute vision processing itself, delete data, or involve financial operations. Severity is low because it only sets up an initialization object with no significant blast radius.
From the tool's definition 初始化创建一个直线定位工具的功能调用的对象 (initializes and creates a line detection tool object); returns a serialized JSON string with LpvClassName and InputParameterFile
Attacks that exploit this kind of access
这是一个直线定位相关的初始化工具，初始化创建一个直线定位工具的功能调用的对象。 是所有直线定位工具下的MCP工具的初始化工具，在这些工具调用之前，都需要保证前处理调用过有且仅有一次此初始化工具。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调用的对象)。 InputParameterFile 表示 ILLineDetector 类初始化文件名称。. 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.
Register the Leaper Vision Toolkit MCP server in PolicyLayer and add a rule for il_line_detector: 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 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 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. 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 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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