这个是水平拆分一个图像的工具。为若干个小图 。 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： ResultImgList属性是输出结果图像URL地址列表。
AI agents invoke il_image_op_split_x to trigger actions in Leaper Vision Toolkit. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
step | integer | — | 单次拆分的步长，传入类型为int类型。对于非循环模式，其通常等于结果图像的宽。而对于循环模式，这表示每次拆分所收集的列数，多次拆分组合为最终结果。 |
count | integer | — | 指定拆分数量，传入类型为int类型。 |
space | integer | — | 拆分的间隔，传入类型为int类型。 |
imageUrl | string | — | 图片的url地址，通过这个地址获取到图片 |
sameSize | boolean | — | 输出的结果图像图像队列，传入类型为bool类型。从上到下。 |
cyclicMode | boolean | — | 是否启用循环拆分，传入类型为bool类型。默认启用。循环模型将循环重复拆分整张图像，再合并单次拆分的若干列为一张图像，作为最终结果。 |
Parameters from the server's own tool schema.
This tool performs an image transformation operation — splitting a source image into multiple sub-images and producing output URLs. It goes beyond a pure read (it creates new derived image resources) but is not a destructive or financial action.
From the tool's definition 水平拆分一个图像的工具。为若干个小图 (horizontally splits an image into smaller images); returns ResultImgList with output image URL list
Attacks that exploit this kind of access
这个是水平拆分一个图像的工具。为若干个小图 。 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： ResultImgList属性是输出结果图像URL地址列表。. It is categorised as a Execute tool in the Leaper Vision Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
il_image_op_split_x accepts 6 parameters: step, count, space, imageUrl, sameSize, cyclicMode. 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_split_x: 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_split_x is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the il_image_op_split_x 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_split_x. 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_split_x 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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