Assess balanced representation across groups in different contexts
AI agents call bias.measure_representation_fairness to retrieve information from ContextForge MCP Gateway without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs an analytical assessment of fairness metrics—it reads and evaluates data to produce insights about representation. There is no indication that it modifies data, executes arbitrary code, deletes records, or commits financial transactions. The tool's purpose is observational and diagnostic, consistent with the Read category (retrieve or query data; no side effects).
From the tool's definition Tool name 'measure_representation_fairness' and description 'Assess balanced representation across groups in different contexts' indicate a data assessment and analysis function.
Attacks that exploit this kind of access
Assess balanced representation across groups in different contexts. 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_representation_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_representation_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_representation_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_representation_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_representation_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.
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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