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.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/safety-guardrail-breach-analyzer.md
What safety_guardrail_breach_analyzer does on Mcp Knowledge
AI agents call safety_guardrail_breach_analyzer 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | 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 | — | Contextual information about the prompt or conversation |
llmOutput | string | Yes | Raw text output from LLM to analyze for guardrail breaches |
severityThreshold | number | — | Minimum severity score to report (0-10 scale) |
includeMitigations | boolean | — | Whether to include mitigation recommendations |
Parameters from the server's own tool schema.
Why safety_guardrail_breach_analyzer is rated Low
This tool performs analysis and returns a report — it reads/evaluates input data (LLM responses or breach reports) and produces compliance assessments. It does not modify data, execute code, delete anything, or move money. The medium severity reflects that misuse could influence safety decisions or mask real violations, but the tool itself is fundamentally analytical/read-only.
From the tool's definition Analyzes potential LLM guardrail breaches... returns compliance analysis with severity scoring and mitigation recommendations
Attacks that exploit this kind of access
The rule that runs safety_guardrail_breach_analyzer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For safety_guardrail_breach_analyzer, this is the rule to start with:
safety_guardrail_breach_analyzer is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every safety_guardrail_breach_analyzer call is checked against it from then on.
Questions about 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. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
safety_guardrail_breach_analyzer accepts 5 parameters: async, context, llmOutput, severityThreshold, includeMitigations. Required: llmOutput. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for safety_guardrail_breach_analyzer: 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 Mcp Knowledge. Nothing to install.
safety_guardrail_breach_analyzer 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 safety_guardrail_breach_analyzer 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 safety_guardrail_breach_analyzer. 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.
safety_guardrail_breach_analyzer is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Knowledge, and thousands of servers like it.
This server
Across the catalogue