Set the comparison baseline image (and mask). * @param[in] img The input image * @param[in] region The input region, to limit the region of the baseline template on the input image * and also exclude some not-care pixels. 设置比较的基准图像（和蒙版） * @param[in] img 输入的图像 * @param[in] region 输入的区域，用于限定基准图像在输入...
AI agents use image_compare_set_baseline 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 |
|---|---|---|---|
imageUrl | string | — | 图片的url地址，通过这个地址获取到输入图像 |
regionClassObjDescriptionJson | string | — | 原始的Roi区域。在调用此工具前要保证前处理中一定要有且仅有一次的 Region 初始化工具调用，可用的初始化工具有：ILAnnulusRegion (圆环区域对象)、ILAnnulusSectorRegion(环状扇形区域对象)、ILCircleRegion (圆形区域对象)、ILCompoundRegion (复合 |
imageCompareClassObjDescriptionJson | string | — | 用于图像比较功能调用的对象。在调用此工具前要保证前处理中一定要有且仅有一次的 ImageCompareNew 初始化工具调用。如果用户指定图像比较功能相关对象，传入一个序列化的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 |
Parameters from the server's own tool schema.
This tool creates or configures a baseline image state within the image processing system. It does not execute arbitrary code or trigger external operations with unpredictable effects, nor does it delete or overwrite existing data irreversibly—it sets parameters for a comparison operation. The modification is reversible (a new baseline can be set), making it a Write-category tool.
From the tool's definition Tool name 'image_compare_set_baseline' and description explicitly state it 'Set the comparison baseline image (and mask)' with parameters for input image and region.
Attacks that exploit this kind of access
Set the comparison baseline image (and mask). * @param[in] img The input image * @param[in] region The input region, to limit the region of the baseline template on the input image * and also exclude some not-care pixels. 设置比较的基准图像（和蒙版） * @param[in] img 输入的图像 * @param[in] region 输入的区域，用于限定基准图像在输入图像中的位置，和剔除无关像素 设置比较的基准图像（和蒙版），并返回设置完成的图像比较功能调用的对象。 如果别的图像比较功能要依赖于当前图像比较功能调用对象来调用，可以使用当前对象Json。 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 表示图像比较功能调用的对象名称，目前名称应为：ILImageCompare (图像比较功能相关对象); InputParameterFile 表示图像比较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.
image_compare_set_baseline accepts 3 parameters: imageUrl, regionClassObjDescriptionJson, imageCompareClassObjDescriptionJson. 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 image_compare_set_baseline: 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.
image_compare_set_baseline 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 image_compare_set_baseline 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 image_compare_set_baseline. 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.
image_compare_set_baseline 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 →