设置图像滤波工具的滤波核尺寸。 Change kernel size used in the filter, by default it's a 3x3 kernel. Large kernel size results usually in stronger filtering effect, but also slower. 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...
AI agents use il_image_filter_set_kernel_size 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 |
|---|---|---|---|
kWidth | integer | — | 滤波核的宽度,传入类型为int类型,需要是一个 3 ~ 31 之间的奇数，如 3, 5, 7 等。 |
kHeight | integer | — | 滤波核的高度,传入类型为int类型，需要是一个 3 ~ 31 之间的奇数，如 3, 5, 7 等。若设置为 0，则使用与宽度相同。 |
InputParameterFile | string | — | 指定的 ILImageFilter 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 ILImageFilter 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 does not delete or execute arbitrary commands—it simply adjusts a parameter (kernel size) for image filtering operations. The modification is reversible by setting it to a different value. It falls under Write category as it modifies application state/configuration.
From the tool's definition The tool description states it is used to 'Change kernel size used in the filter' and 'Set kernel size used in the filter'.
Attacks that exploit this kind of access
设置图像滤波工具的滤波核尺寸。 Change kernel size used in the filter, by default it's a 3x3 kernel. Large kernel size results usually in stronger filtering effect, but also slower. 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 表示图像滤波工具的功能调用的对象名称，目前名称应为：ILImageFilter。 InputParameterFile 表示图像滤波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_image_filter_set_kernel_size accepts 3 parameters: kWidth, kHeight, 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_filter_set_kernel_size: 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_filter_set_kernel_size 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_filter_set_kernel_size 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_filter_set_kernel_size. 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_filter_set_kernel_size 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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