Medium Risk

il_image_filter_fill_hole

修补输入图像中的孔洞工具。 Fill holes in the input image by reconstructing missing pixels using nearby pixel values. A hole is defined as a region of black pixels in the mask image. 用户没有指定滤波相关参数时,不要调用设置参数的插件,传入的ILImageFilter 类的文件中已经设置了滤波相关的默认参数。 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。

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

AI agents use il_image_filter_fill_hole 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 il_image_filter_fill_hole 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:
  il_image_filter_fill_hole:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

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

Tool Name il_image_filter_fill_hole
Category Write
Risk Level Medium

View all 169 tools →

Agents calling write-class tools like il_image_filter_fill_hole have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the il_image_filter_fill_hole tool do? +

修补输入图像中的孔洞工具。 Fill holes in the input image by reconstructing missing pixels using nearby pixel values. A hole is defined as a region of black pixels in the mask image. 用户没有指定滤波相关参数时,不要调用设置参数的插件,传入的ILImageFilter 类的文件中已经设置了滤波相关的默认参数。 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。. 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 il_image_filter_fill_hole? +

Add a rule in your Intercept YAML policy under the tools section for il_image_filter_fill_hole. 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 il_image_filter_fill_hole? +

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

Can I rate-limit il_image_filter_fill_hole? +

Yes. Add a rate_limit block to the il_image_filter_fill_hole 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 il_image_filter_fill_hole completely? +

Set action: deny in the Intercept policy for il_image_filter_fill_hole. 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_filter_fill_hole? +

il_image_filter_fill_hole 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.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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