# safety_guardrail_breach_analyzer

Analyzes potential LLM guardrail breaches against IEEE 7000 ethical compliance standards. Designed for risk persona to evaluate safety violations in AI outputs. Accepts raw LLM responses or structured breach reports, returns compliance analysis with severity scoring and mitigation recommendations.

Agent View of the PolicyLayer registry record for `safety_guardrail_breach_analyzer`. HTML page: https://policylayer.com/tools/io-github-getgapup-gapup-mcp/safety-guardrail-breach-analyzer

## Facts

- Tool: `safety_guardrail_breach_analyzer`
- Server: Gapup Mcp (`https://mcp.gapup.io/mcp`) — https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md
- Homepage: https://github.com/getgapup/gapup-mcp-public
- 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 |
| `context` | string | no | Contextual information about the prompt or conversation |
| `llmOutput` | string | yes | Raw text output from LLM to analyze for guardrail breaches |
| `severityThreshold` | number | no | Minimum severity score to report (0-10 scale) |
| `includeMitigations` | boolean | no | Whether to include mitigation recommendations |

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": "safety_guardrail_breach_analyzer",
    "arguments": {
      "llmOutput": "<llmOutput>"
    }
  }
}
```

## Why safety_guardrail_breach_analyzer is rated Low

This tool reads/analyzes LLM outputs or breach reports and returns a compliance analysis. It does not modify data, execute code, or trigger external operations — it is fundamentally a read/analysis operation. Severity is medium because misuse could involve feeding it adversarial inputs to probe for guardrail bypass strategies, or the analysis output could be used to circumvent safety controls.

From the tool's own definition: "Analyzes potential LLM guardrail breaches... returns compliance analysis with severity scoring and mitigation recommendations"

## Use case

AI agents call safety_guardrail_breach_analyzer to retrieve information from Gapup Mcp 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 Gapup Mcp:

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

## Other tools on Gapup Mcp (270)

- `adversarial_input_stress_tester` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/adversarial-input-stress-tester.md
- `dora_operational_resilience_stress_tes` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/dora-operational-resilience-stress-tes.md
- `financial_model_3statement` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/financial-model-3statement.md
- `gl_reconciler` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/gl-reconciler.md
- `lgpd_data_subject_rights_automator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/lgpd-data-subject-rights-automator.md
- `monte_carlo_portfolio` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/monte-carlo-portfolio.md
- `process_mining` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/process-mining.md
- `ugc_moderation_classifier` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/ugc-moderation-classifier.md
- `workflow_orchestrator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/workflow-orchestrator.md
- `abm_architect` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/abm-architect.md
- `account_expansion_mapper` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/account-expansion-mapper.md
- `anti_demissions_hr` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/anti-demissions-hr.md
- `audit_pre_flight` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/audit-pre-flight.md
- `budget_variance_ai` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/budget-variance-ai.md
- `capacity_planning` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capacity-planning.md
- `capital_strategy` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capital-strategy.md
- `churn_defender` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/churn-defender.md
- `competitor_moves` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-moves.md
- `competitor_recommendations` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-recommendations.md
- `content_engine` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/content-engine.md
- `cross_sell_reco` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cross-sell-reco.md
- `customer_voice_synth` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/customer-voice-synth.md
- `cyber_risk_auditor` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cyber-risk-auditor.md
- `deal_structurer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/deal-structurer.md
- `discovery_prep` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/discovery-prep.md
- `diversity_inclusion_metrics` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/diversity-inclusion-metrics.md
- `earnings_reviewer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/earnings-reviewer.md
- `enps_auto` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/enps-auto.md
- `event_marketing` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/event-marketing.md
- `fraud_detector` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/fraud-detector.md
- …and 240 more: https://policylayer.com/tools/io-github-getgapup-gapup-mcp.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-gapup-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-gapup-mcp