bias.evaluate_outcome_equity

What bias.evaluate_outcome_equity does on ContextForge MCP Gateway

AI agents call bias.evaluate_outcome_equity to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why bias.evaluate_outcome_equity is rated Low

This tool performs an analysis or audit of outcomes to detect bias across protected groups. It queries or examines existing data to identify patterns of disparate impact, which is a non-destructive, non-side-effect operation. No creation, modification, deletion, code execution, or financial transaction occurs. This is a classic Read category use case: data retrieval and analysis for reporting purposes.

From the tool's definition Tool name and description indicate a check/evaluation operation: 'evaluate_outcome_equity' and 'Check for disparate impacts.' The verb 'check' and 'evaluate' are read-only operations that analyze data without modifying, deleting, executing external code, or…

The rule that runs bias.evaluate_outcome_equity safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bias.evaluate_outcome_equity, this is the rule to start with:

{
  "version": "1",
  "default": "deny",
  "tools": {
    "bias.evaluate_outcome_equity": {}
  }
}

Questions about bias.evaluate_outcome_equity