Medium Risk

image_compare_set_baseline

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...

Part of the Leaper Vision Toolkit MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents use image_compare_set_baseline to create or modify resources in Leaper Vision Toolkit. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call image_compare_set_baseline repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Leaper Vision Toolkit.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

leaper-mcp-leaper-mcp-proxy.yaml
tools:
  image_compare_set_baseline:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Leaper Vision Toolkit policy for all 169 tools.

Tool Name image_compare_set_baseline
Category Write
Risk Level Medium

View all 169 tools →

What does the image_compare_set_baseline tool do? +

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.

How do I enforce a policy on image_compare_set_baseline? +

Add a rule in your Intercept YAML policy under the tools section for image_compare_set_baseline. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.

What risk level is image_compare_set_baseline? +

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

Can I rate-limit image_compare_set_baseline? +

Yes. Add a rate_limit block to the image_compare_set_baseline rule in your Intercept 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 image_compare_set_baseline completely? +

Set action: deny in the Intercept 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.

What MCP server provides image_compare_set_baseline? +

image_compare_set_baseline is provided by the Leaper Vision Toolkit MCP server (leaper-mcp/leaper-mcp-proxy). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Leaper Vision Toolkit

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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