Compute the relative sharpness of the input image, based on the edge gradients. It's usually used to automate focusing a camera lens on a scene. Note that the score may be affected by the contrast, brightness and content of the scene, thus it's meaningless to compare the sharpness scores of dif...
Part of the Leaper Vision Toolkit MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use image_stats_sharpness 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_stats_sharpness 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.
tools:
image_stats_sharpness:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Leaper Vision Toolkit policy for all 169 tools.
Compute the relative sharpness of the input image, based on the edge gradients. It's usually used to automate focusing a camera lens on a scene. Note that the score may be affected by the contrast, brightness and content of the scene, thus it's meaningless to compare the sharpness scores of different scenes. 计算输入图像的相对清晰度，基于图像中总体的边缘强度。 清晰度计算通常用于实现对静态场景的自动对焦。 注意清晰度通常受到图像的对比度、亮度以及场景内容的影响，因此无法比较不同场景的清晰度数值。 Returns a JSON string with the following fields: Sharpness: The sharpness score 返回结构是一个序列化的JSON字符串，包含以下字段： Sharpness: 清晰度评价数值. 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.
Add a rule in your Intercept YAML policy under the tools section for image_stats_sharpness. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.
image_stats_sharpness is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the image_stats_sharpness 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.
Set action: deny in the Intercept policy for image_stats_sharpness. 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_sharpness 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.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept