Use local-adaptive threshold value. This is a legacy function and deprecated since 2.18.0, SetThresholdAdaptLocalMean() has the same functionality as it. It's recommended to use SetThresholdAdaptLocalMean() or SetThresholdAdaptLocalMedian() instead. Returns a serialized JSON structure containing:...
AI agents use il_image_threshold_set_threshold_adapt_local 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 | — | 基于局部自适应阈值的下限修正值 |
ubBias | integer | — | 基于局部自适应阈值的上限修正值 |
blockWidth | integer | — | 局部区域的宽度，需要是一个奇数 |
blockHeight | integer | — | 局部区域的高度，需要是一个奇数 |
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 configures/sets a processing parameter (local adaptive threshold) on an image filter or processing pipeline object. It modifies configuration state (Write) rather than simply reading data, but does not execute code, delete data, or involve finances. The blast radius is low as it only affects image processing configuration within the toolkit.
From the tool's definition 'Use local-adaptive threshold value' and 'SetThresholdAdaptLocalMean() has the same functionality' — sets/configures a threshold parameter on an image processing object
Attacks that exploit this kind of access
Use local-adaptive threshold value. This is a legacy function and deprecated since 2.18.0, SetThresholdAdaptLocalMean() has the same functionality as it. It's recommended to use SetThresholdAdaptLocalMean() or SetThresholdAdaptLocalMedian() instead. Returns a serialized JSON structure containing: LpvClassName indicating the function name; InputParameterFile representing the parameter file name;这个是 设置并使用局部自适应阈值 工具。这是一个已废弃的旧接口（从 2.18.0 版本开始），SetThresholdAdaptLocalMean() 的用途与其相同。推荐使用新的 SetThresholdAdaptLocalMean() 或 SetThresholdAdaptLocalMedian() 方法。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_local accepts 5 parameters: lbBias, ubBias, blockWidth, blockHeight, 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_local: 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_local 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_local 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_local. 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_local 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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