这个是将多帧图像融合用于将多张同一场景的图像融合为一张的工具。在不同的场景，通过使用不同的聚合方式达到不同目的。 工具不需要通过其它工具设置参数，不需要传入ILImageOp的对象。 返回结构是一个序列化的json，其中： ResultImg属性是输出结果图像URL地址。 English: The two input images should have the same size and format. 中文: 两个输入图像需尺寸相同、类型相同。
AI agents use il_image_op_blend 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 |
|---|---|---|---|
aggType | string | — | 融合方式，传入类型为LPVAggregation类型。有效的类型为：LPVAggAvg = 0（均值：降低图像噪声，在光照条件不佳、亮度不断变化的场景下，获得更稳定的图像质量。）、LPVAggDev = 1（标准差：结果图像中的较亮像素表示在多帧图像中该位置的像素值变化较大。）LPVAggMin = 3（最小值：减少亮 |
imageUrlList | array | — | 图片的url地址队列，通过这个地址获取到图片 |
Parameters from the server's own tool schema.
The tool processes and transforms input images into a new output image via blending/fusion operations. This is a reversible modification of image data (Write category). It does not execute arbitrary code, delete data, or cause financial impact.
From the tool's definition Tool name 'il_image_op_blend' and description indicate it 'fuses multiple frames/images from the same scene into one image' through 'different aggregation methods for different purposes.' The output is 'a serialized JSON with ResultImg property [being] output…
Attacks that exploit this kind of access
这个是将多帧图像融合用于将多张同一场景的图像融合为一张的工具。在不同的场景，通过使用不同的聚合方式达到不同目的。 工具不需要通过其它工具设置参数，不需要传入ILImageOp的对象。 返回结构是一个序列化的json，其中： ResultImg属性是输出结果图像URL地址。 English: The two input images should have the same size and format. 中文: 两个输入图像需尺寸相同、类型相同。. 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_op_blend accepts 2 parameters: aggType, imageUrlList. 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_op_blend: 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_op_blend 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_op_blend 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_op_blend. 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_op_blend 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 →