change_failure_root_cause_classifier
Classifies root causes of change failures for CTO-level incident analysis. Uses GitHub PR metadata and Snyk vulnerability data to identify patterns like dependency vulnerabilities, configuration drift, or deployment process gaps. Inputs include GitHub PR URL or incident ID, and outputs structured...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/change-failure-root-cause-classifier.md
What change_failure_root_cause_classifier does on Mcp Knowledge
AI agents call change_failure_root_cause_classifier 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 |
pr_url | string | Yes | |
incident_id | string | — | |
snyk_org_id | string | — | |
time_range_days | number | — |
Parameters from the server's own tool schema.
Why change_failure_root_cause_classifier is rated Low
This tool reads and analyzes existing data (GitHub PR metadata, Snyk vulnerability data) to classify and identify patterns. It produces structured output (categories with confidence scores) without modifying, executing, or deleting any data. The medium severity reflects that it accesses potentially sensitive incident and vulnerability data, and misuse could expose security gaps or internal engineering processes.
From the tool's definition Classifies root causes of change failures... Uses GitHub PR metadata and Snyk vulnerability data to identify patterns... outputs structured root cause categories with confidence scores. Ideal for post-mortem analysis and change risk assessment.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs change_failure_root_cause_classifier 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 change_failure_root_cause_classifier, this is the rule to start with:
change_failure_root_cause_classifier 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 change_failure_root_cause_classifier call is checked against it from then on.
Questions about change_failure_root_cause_classifier
Classifies root causes of change failures for CTO-level incident analysis. Uses GitHub PR metadata and Snyk vulnerability data to identify patterns like dependency vulnerabilities, configuration drift, or deployment process gaps. Inputs include GitHub PR URL or incident ID, and outputs structured root cause categories with confidence scores. Ideal for post-mortem analysis and change risk assessment. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
change_failure_root_cause_classifier accepts 5 parameters: async, pr_url, incident_id, snyk_org_id, time_range_days. Required: pr_url. 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 change_failure_root_cause_classifier: 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.
change_failure_root_cause_classifier 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 change_failure_root_cause_classifier 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 change_failure_root_cause_classifier. 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.
change_failure_root_cause_classifier 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.
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