# model_behavior_drift_monitor

Monitors AI model output drift by comparing current model responses against MLCommons safety benchmarks. Designed for risk and compliance personas to detect behavioral deviations that may indicate safety or alignment issues. Accepts model outputs or identifiers and returns structured drift metrics with statistical significance. Sources data from MLCommons public benchmark APIs.

Agent View of the PolicyLayer registry record for `model_behavior_drift_monitor`. HTML page: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/model-behavior-drift-monitor

## Facts

- Tool: `model_behavior_drift_monitor`
- Server: Mcp Knowledge (`https://mcp.gapup.io`) — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge.md
- Homepage: https://github.com/getgapup/gapup-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 5 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
| `threshold` | number | no | Drift threshold for alerting |
| `currentOutputs` | array | no | Recent model outputs to analyze for drift |
| `baselineMetrics` | object | no |  |
| `modelIdentifier` | string | yes | Unique identifier for the model being monitored |

Parameters from the server's own tool schema.

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "model_behavior_drift_monitor",
    "arguments": {
      "modelIdentifier": "<modelIdentifier>"
    }
  }
}
```

## Why model_behavior_drift_monitor is rated Low

This is a monitoring and analytical tool that performs data retrieval and comparison operations. It accepts model outputs or identifiers, queries public benchmark APIs, and returns metrics. There are no side effects: no data is modified, no external systems are triggered based on the comparison results, and no code execution occurs.

From the tool's own definition: "Tool 'monitors AI model output drift by comparing current model responses against MLCommons safety benchmarks' and 'returns structured drift metrics' — it retrieves and analyzes data without modifying systems, executing code on behalf of users, or triggering…"

## Use case

AI agents call model_behavior_drift_monitor to retrieve information from Mcp Knowledge 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 Mcp Knowledge:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "model_behavior_drift_monitor": {}
  }
}
```

## Other tools on Mcp Knowledge (270)

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- `dora_operational_resilience_stress_tes` — Execute — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/dora-operational-resilience-stress-tes.md
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- `gl_reconciler` — Execute — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/gl-reconciler.md
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- `term_sheet_negotiation` — Other — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/term-sheet-negotiation.md
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- `africa_trade_finance_esg_rater` — Read — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/africa-trade-finance-esg-rater.md
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- `africa_trade_preference_optimizer` — Read — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/africa-trade-preference-optimizer.md
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- `ai_act_sandbox_regulatory_sandbox` — Read — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/ai-act-sandbox-regulatory-sandbox.md
- `ai_act_training_data_audit` — Read — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/ai-act-training-data-audit.md
- `ai_governance_full_report_async` — Read — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/ai-governance-full-report-async.md
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- …and 240 more: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge.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=io-github-getgapup-mcp-knowledge · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-mcp-knowledge