# eval_report

Compare board-workflow vs chat-workflow trials using label conventions: experiment:board / experiment:chat marks a ticket

Agent View of the PolicyLayer registry record for `eval_report`. HTML page: https://policylayer.com/tools/ai-featureboard-featureboard/eval-report

## Facts

- Tool: `eval_report`
- Server: FeatureBoard (`https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin`) — https://policylayer.com/tools/ai-featureboard-featureboard.md
- Homepage: https://github.com/valentil/featureboard-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "eval_report",
    "arguments": {}
  }
}
```

## Why eval_report is rated Low

The tool compares/analyzes experiment trials by reading labeled tickets. 'Compare' and 'eval' (evaluate) indicate a read/analysis operation with no apparent side effects. No creation, modification, execution, or deletion is described. Severity is low as it only retrieves and analyzes existing data. Confidence is moderate because the description is brief and doesn't explicitly confirm read-only behavior.

From the tool's own definition: "Compare board-workflow vs chat-workflow trials using label conventions"

## Use case

AI agents call eval_report to retrieve information from FeatureBoard 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 FeatureBoard:

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

## Other tools on FeatureBoard (214)

- `cancel_booking` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/cancel-booking.md
- `cleanup_worktree` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/cleanup-worktree.md
- `delete_task` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/delete-task.md
- `prune_board` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/prune-board.md
- `remove_annotation` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-annotation.md
- `remove_attachment` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-attachment.md
- `remove_company_agreement` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-company-agreement.md
- `remove_contact` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-contact.md
- `remove_media_comment` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-media-comment.md
- `remove_page` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-page.md
- `remove_product` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-product.md
- `remove_share` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-share.md
- `remove_test_page` — Destructive — https://policylayer.com/tools/ai-featureboard-featureboard/remove-test-page.md
- `commit_feature` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/commit-feature.md
- `create_worktree` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/create-worktree.md
- `deploy_site` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/deploy-site.md
- `drift_remediate` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/drift-remediate.md
- `drift_start` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/drift-start.md
- `eval_model_matrix` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/eval-model-matrix.md
- `graduate_project` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/graduate-project.md
- `set_git_config` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/set-git-config.md
- `start_checks` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/start-checks.md
- `validate_packaging` — Execute — https://policylayer.com/tools/ai-featureboard-featureboard/validate-packaging.md
- `activate_license` — Financial — https://policylayer.com/tools/ai-featureboard-featureboard/activate-license.md
- `request_commercial_license` — Financial — https://policylayer.com/tools/ai-featureboard-featureboard/request-commercial-license.md
- `set_usage_type` — Other — https://policylayer.com/tools/ai-featureboard-featureboard/set-usage-type.md
- `auto_configure_analytics` — Read — https://policylayer.com/tools/ai-featureboard-featureboard/auto-configure-analytics.md
- `bug_impact_scan` — Read — https://policylayer.com/tools/ai-featureboard-featureboard/bug-impact-scan.md
- `check_updates` — Read — https://policylayer.com/tools/ai-featureboard-featureboard/check-updates.md
- `churn_reconcile` — Read — https://policylayer.com/tools/ai-featureboard-featureboard/churn-reconcile.md
- …and 184 more: https://policylayer.com/tools/ai-featureboard-featureboard.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=ai-featureboard-featureboard · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/ai-featureboard-featureboard