Use user-specified threshold value to set the fixed threshold range for foreground pixels. The lower bound of threshold range is in range of 0 ~ 255 for 8bit images, 0 ~ 65535 for 16bit images. The upper bound of threshold range is in range of 0 ~ 255 for 8bit images, 0 ~ 65535 for 16bit images. ...
AI agents use il_image_threshold_set_threshold 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 |
|---|---|---|---|
lb | integer | — | 阈值范围下限 |
ub | integer | — | 阈值范围上限 |
InputParameterFile | string | — | 指定的 ILImageThreshold 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 ILImageThreshold 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 is an image processing parameter configuration tool. It modifies threshold settings for foreground pixel detection, which is a reversible transformation of processing state rather than destructive data deletion or code execution.
From the tool's definition Tool description states it 'set[s] the fixed threshold range' and 'returns a serialized JSON structure' — it modifies image processing parameters (threshold values) but does not irreversibly delete data or execute arbitrary code.
Attacks that exploit this kind of access
Use user-specified threshold value to set the fixed threshold range for foreground pixels. The lower bound of threshold range is in range of 0 ~ 255 for 8bit images, 0 ~ 65535 for 16bit images. The upper bound of threshold range is in range of 0 ~ 255 for 8bit images, 0 ~ 65535 for 16bit images. Returns a serialized JSON structure containing: LpvClassName indicating the function name; InputParameterFile representing the parameter file name;这个是 设置前景像素的固定阈值范围 工具。阈值范围下限对于 8 位图像数值在 0 ~ 255 范围内，对于 16 位图像数值在 0 ~ 65535 范围内。阈值范围上限对于 8 位图像数值在 0 ~ 255 范围内，对于 16 位图像数值在 0 ~ 65535 范围内。返回结构是一个序列化的json，其中LpvClassName 表示调用工具函数的名称；InputParameterFile 表示调用工具函数需要传入的参数文件名称;. 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_image_threshold_set_threshold accepts 3 parameters: lb, ub, 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_image_threshold_set_threshold: 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_image_threshold_set_threshold 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_image_threshold_set_threshold 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_image_threshold_set_threshold. 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_image_threshold_set_threshold 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.
Teams ship this data inside their own products. See what a licence covers →