Use global-adaptive threshold value. The optimal threshold value is calculated base on the entire input image, then revised by the given bias value. The lower bound of threshold value is t - lbBias, the upper bound is t + ubBias. Returns a serialized JSON structure containing: LpvClassName indica...
AI agents use il_image_threshold_set_threshold_adapt_globald 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 |
|---|---|---|---|
lbBias | integer | — | 基于全局自适应阈值的下限修正值 |
ubBias | integer | — | 基于全局自适应阈值的上限修正值 |
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 tool modifies image processing parameters (threshold settings) in a reversible manner without executing arbitrary code or deleting data. It transforms image data through parameter adjustment, which is a Write-class operation. The severity is low because threshold adjustment is a benign image processing operation with no destructive, financial, or execution of arbitrary code implications.
From the tool's definition Tool name and description indicate it 'sets' and 'uses' a threshold value and 'returns a serialized JSON structure' containing parameters.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Use global-adaptive threshold value. The optimal threshold value is calculated base on the entire input image, then revised by the given bias value. The lower bound of threshold value is t - lbBias, the upper bound is t + ubBias. Returns a serialized JSON structure containing: LpvClassName indicating the function name; InputParameterFile representing the parameter file name;这个是 设置并使用全局自适应阈值 工具。自动基于整幅图像上的像素灰度值分布计算一个合适的阈值，然后按照用户设置的上下偏置，生成阈值范围。全局自适应阈值范围的下限为 t - lbBias，上限为 t + ubBias。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_adapt_globald accepts 3 parameters: lbBias, ubBias, 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_adapt_globald: 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_adapt_globald 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_adapt_globald 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_adapt_globald. 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_adapt_globald 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 →