Calculate the mean and standard deviation of the input image. 计算输入图像的灰度均值和标准差。 Returns a JSON string with the following fields: MeanValue: The mean value StdDevValue: The standard deviation value 返回结构是一个序列化的JSON字符串，包含以下字段： MeanValue: 灰度均值 StdDevValue: 灰度标准差
AI agents call image_stats_mean_std_dev to retrieve information from Leaper Vision Toolkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
imageUrl | string | — | 图片的url地址，通过这个地址获取到输入图像 |
regionJson | string | — | 指定的Roi区域。如果用户没有指定区域，请直接传入 "null"。 如果用户指定区域，传入一个序列化的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)。这两个属性的值可以从前处理的MCP工具的返回值中获取。LpvCl |
Parameters from the server's own tool schema.
This tool only computes and returns statistical metrics (mean, standard deviation) from an image. It reads/analyzes data and returns computed values without modifying, creating, or deleting anything. Blast radius is minimal as misuse would only result in unnecessary computation.
From the tool's definition Calculate the mean and standard deviation of the input image — purely analytical/statistical operation with no side effects
Attacks that exploit this kind of access
Calculate the mean and standard deviation of the input image. 计算输入图像的灰度均值和标准差。 Returns a JSON string with the following fields: MeanValue: The mean value StdDevValue: The standard deviation value 返回结构是一个序列化的JSON字符串，包含以下字段： MeanValue: 灰度均值 StdDevValue: 灰度标准差. It is categorised as a Read tool in the Leaper Vision Toolkit MCP Server, which means it retrieves data without modifying state.
image_stats_mean_std_dev accepts 2 parameters: imageUrl, regionJson. 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 image_stats_mean_std_dev: 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.
image_stats_mean_std_dev is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the image_stats_mean_std_dev 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 image_stats_mean_std_dev. 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.
image_stats_mean_std_dev 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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