Medium Risk

image_set_channel

设置彩色图像中某一个给定索引的通道图像。仅用于彩色图像。 输入的通道图像应为灰度图,尺寸与当前的彩色图像相同。 返回结构是一个序列化的JSON字符串,包含以下字段: ResultImg: 设置通道后的图像结果 Set the channel of the given index to the input grayscale image. This function is only for a color image. The input channel image should be a grayscale image of the same size as the ...

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

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

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

Tool Name image_set_channel
Category Write
Risk Level Medium

View all 169 tools →

Agents calling write-class tools like image_set_channel 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 image_set_channel tool do? +

设置彩色图像中某一个给定索引的通道图像。仅用于彩色图像。 输入的通道图像应为灰度图,尺寸与当前的彩色图像相同。 返回结构是一个序列化的JSON字符串,包含以下字段: ResultImg: 设置通道后的图像结果 Set the channel of the given index to the input grayscale image. This function is only for a color image. The input channel image should be a grayscale image of the same size as the current color image. Returns a serialized JSON string containing the following fields: ResultImg: The image result after setting the channel. 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_set_channel? +

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

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

Can I rate-limit image_set_channel? +

Yes. Add a rate_limit block to the image_set_channel 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_set_channel completely? +

Set action: deny in the Intercept policy for image_set_channel. 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_set_channel? +

image_set_channel 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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