# bias.measure_intersectional_fairness

Evaluate compound bias effects across multiple identity dimensions

Agent View of the PolicyLayer registry record for `bias.measure_intersectional_fairness`. HTML page: https://policylayer.com/tools/jrmatherly-mcp-context-forge/bias.measure-intersectional-fairness

## Facts

- Tool: `bias.measure_intersectional_fairness`
- Server: ContextForge MCP Gateway (`jrmatherly/mcp-context-forge`) — https://policylayer.com/tools/jrmatherly-mcp-context-forge.md
- Homepage: https://github.com/jrmatherly/mcp-context-forge
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "bias.measure_intersectional_fairness",
    "arguments": {}
  }
}
```

## 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 own definition: "Tool evaluates and measures fairness metrics across identity dimensions without modifying data or triggering external actions."

## Use case

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.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches ContextForge MCP Gateway:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "bias.measure_intersectional_fairness": {}
  }
}
```

## Other tools on ContextForge MCP Gateway (220)

- `clear_cache` — Destructive — https://policylayer.com/tools/jrmatherly-mcp-context-forge/clear-cache.md
- `delete_slide` — Destructive — https://policylayer.com/tools/jrmatherly-mcp-context-forge/delete-slide.md
- `agent.benchmark_performance` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.benchmark-performance.md
- `bitbucket_trigger_pipeline` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/bitbucket-trigger-pipeline.md
- `build_schedule` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/build-schedule.md
- `calculate_stats` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/calculate-stats.md
- `compile_document` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/compile-document.md
- `critical_path_analysis` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/critical-path-analysis.md
- `execute_code` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/execute-code.md
- `generate_qr_code` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/generate-qr-code.md
- `judge.rank_responses` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/judge.rank-responses.md
- `performance.evaluate_throughput_scaling` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/performance.evaluate-throughput-scaling.md
- `query_data` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/query-data.md
- `render_graph` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/render-graph.md
- `robustness.assess_distribution_shift` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/robustness.assess-distribution-shift.md
- `robustness.measure_input_sensitivity` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/robustness.measure-input-sensitivity.md
- `robustness.test_adversarial_inputs` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/robustness.test-adversarial-inputs.md
- `statistical_test` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/statistical-test.md
- `transform_data` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/transform-data.md
- `workflow.run_evaluation` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/workflow.run-evaluation.md
- `agent.analyze_reasoning` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.analyze-reasoning.md
- `agent.evaluate_tool_use` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.evaluate-tool-use.md
- `agent.measure_task_completion` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.measure-task-completion.md
- `analyze_code` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-code.md
- `analyze_csv` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-csv.md
- `analyze_dataset` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-dataset.md
- `analyze_document` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-document.md
- `analyze_feed` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-feed.md
- `analyze_graph` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-graph.md
- `analyze_text` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-text.md
- …and 190 more: https://policylayer.com/tools/jrmatherly-mcp-context-forge.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=jrmatherly-mcp-context-forge · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/jrmatherly-mcp-context-forge