bias.measure_intersectional_fairness
Evaluate compound bias effects across multiple identity dimensions
This record as markdown: /tools/jrmatherly-mcp-context-forge/bias.measure-intersectional-fairness.md
What bias.measure_intersectional_fairness does on ContextForge MCP Gateway
AI agents call bias.measure_intersectional_fairness 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.measure_intersectional_fairness is rated Low
This tool performs quantitative analysis and measurement of fairness properties in data or models. No write, execute, destructive, or financial operations are described. The purpose is to read/query bias metrics and produce analysis results, making it a Read-category tool with low severity since it has no side effects and cannot be misused to cause harm directly.
From the tool's definition Tool evaluates and measures fairness metrics across identity dimensions without modifying data or triggering external actions.
Attacks that exploit this kind of access
The rule that runs bias.measure_intersectional_fairness 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.measure_intersectional_fairness, this is the rule to start with:
bias.measure_intersectional_fairness is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ContextForge MCP Gateway, apply this rule, and every bias.measure_intersectional_fairness call is checked against it from then on.
Questions about bias.measure_intersectional_fairness
Evaluate compound bias effects across multiple identity dimensions. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for bias.measure_intersectional_fairness: 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 ContextForge MCP Gateway. Nothing to install.
bias.measure_intersectional_fairness 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 bias.measure_intersectional_fairness 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 bias.measure_intersectional_fairness. 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.
bias.measure_intersectional_fairness is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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