# dora_metrics_deep_dive

Analyzes DORA metrics (Deployment Frequency, Mean Time to Recovery, Change Failure Rate) with deep correlation to code review patterns. Designed for CTOs to identify bottlenecks in software delivery pipelines. Inputs include GitHub repository identifiers and optional time ranges. Outputs structured metrics with trend analysis and code review depth insights.

Agent View of the PolicyLayer registry record for `dora_metrics_deep_dive`. HTML page: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/dora-metrics-deep-dive

## Facts

- Tool: `dora_metrics_deep_dive`
- 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 |
| --- | --- | --- | --- |
| `repo` | string | yes | GitHub repository in format 'owner/repo' |
| `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 |
| `since` | string | no | Start date for analysis (ISO 8601) |
| `until` | string | no | End date for analysis (ISO 8601) |
| `branch` | string | no | Branch name to analyze (default: main) |

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": "dora_metrics_deep_dive",
    "arguments": {
      "repo": "<repo>"
    }
  }
}
```

## Why dora_metrics_deep_dive is rated Low

The tool reads and analyzes existing data from GitHub repositories (deployment frequency, MTTR, change failure rate, code review patterns) and produces structured analytical output. There is no indication it modifies, executes, or deletes any data.

From the tool's own definition: "Analyzes DORA metrics...Outputs structured metrics with trend analysis and code review depth insights. Inputs include GitHub repository identifiers and optional time ranges."

## Use case

AI agents call dora_metrics_deep_dive 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": {
    "dora_metrics_deep_dive": {}
  }
}
```

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## 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