# prompt.assess_relevance

Measure semantic alignment between prompt and outputs using embeddings

Agent View of the PolicyLayer registry record for `prompt.assess_relevance`. HTML page: https://policylayer.com/tools/jrmatherly-mcp-context-forge/prompt.assess-relevance

## Facts

- Tool: `prompt.assess_relevance`
- 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": "prompt.assess_relevance",
    "arguments": {}
  }
}
```

## Why prompt.assess_relevance is rated Low

This tool retrieves and processes data (embeddings and similarity metrics) without modifying, deleting, or executing code. It is purely an analytical read operation that assesses semantic similarity between inputs and outputs. No data is created, destroyed, or irreversibly changed.

From the tool's own definition: "Tool 'prompt.assess_relevance' measures semantic alignment using embeddings—a comparison/analysis operation with no state changes, deletions, or external side effects."

## Use case

AI agents call prompt.assess_relevance 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": {
    "prompt.assess_relevance": {}
  }
}
```

## 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