il_image_op_gain_offset

这个是图像增益和偏移的工具。 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。

Server Leaper Vision Toolkit leaper-mcp/leaper-mcp-proxy
Category Write
Risk class Medium
Parameters 30 required

What il_image_op_gain_offset does on Leaper Vision Toolkit

AI agents use il_image_op_gain_offset 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.

ParameterTypeRequiredDescription
gain number 增益值,传入类型为double类型。
offset number 偏移值,传入类型为double类型。
imageUrl string 图片的url地址,通过这个地址获取到图片

Parameters from the server's own tool schema.

Why il_image_op_gain_offset needs a policy

This tool creates modified images through gain and offset adjustments—a reversible image transformation operation. It does not execute arbitrary code, delete data, or create financial obligations. While it modifies image data, the transformation is reversible and non-destructive (users can reprocess with different parameters).

From the tool's definition Tool performs image transformation and processing operations (gain/offset adjustment) that modify image data. The description states it outputs a 'result image URL' (ResultImg), indicating image data is created/modified.

Questions about il_image_op_gain_offset

What does the il_image_op_gain_offset tool do? +

这个是图像增益和偏移的工具。 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.

What parameters does il_image_op_gain_offset accept? +

il_image_op_gain_offset accepts 3 parameters: gain, offset, imageUrl. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on il_image_op_gain_offset? +

Register the Leaper Vision Toolkit MCP server in PolicyLayer and add a rule for il_image_op_gain_offset: 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.

What risk level is il_image_op_gain_offset? +

il_image_op_gain_offset is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit il_image_op_gain_offset? +

Yes. Add a rate_limit block to the il_image_op_gain_offset 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.

How do I block il_image_op_gain_offset completely? +

Set action: deny in the PolicyLayer policy for il_image_op_gain_offset. 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.

What MCP server provides il_image_op_gain_offset? +

il_image_op_gain_offset 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.

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