Use global-adaptive threshold value. The optimal threshold value is calculated base on the entire input image, then revised by the given bias value. The lower bound of threshold value is t - lbBias, the upper bound is t + ubBias. Returns a serialized JSON structure containing: LpvClassName indica...
Bulk/mass operation — affects multiple targets
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_threshold_set_threshold_adapt_globald 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_threshold_set_threshold_adapt_globald 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:
il_image_threshold_set_threshold_adapt_globald:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Leaper Vision Toolkit policy for all 169 tools.
Agents calling write-class tools like il_image_threshold_set_threshold_adapt_globald have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Use global-adaptive threshold value. The optimal threshold value is calculated base on the entire input image, then revised by the given bias value. The lower bound of threshold value is t - lbBias, the upper bound is t + ubBias. Returns a serialized JSON structure containing: LpvClassName indicating the function name; InputParameterFile representing the parameter file name;这个是 设置并使用全局自适应阈值 工具。自动基于整幅图像上的像素灰度值分布计算一个合适的阈值，然后按照用户设置的上下偏置，生成阈值范围。全局自适应阈值范围的下限为 t - lbBias，上限为 t + ubBias。返回结构是一个序列化的json，其中LpvClassName 表示调用工具函数的名称；InputParameterFile 表示调用工具函数需要传入的参数文件名称;. 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.
Add a rule in your Intercept YAML policy under the tools section for il_image_threshold_set_threshold_adapt_globald. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leaper Vision Toolkit MCP server.
il_image_threshold_set_threshold_adapt_globald 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 il_image_threshold_set_threshold_adapt_globald 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 il_image_threshold_set_threshold_adapt_globald. 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.
il_image_threshold_set_threshold_adapt_globald 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.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.