# get_branding

Return the project

Agent View of the PolicyLayer registry record for `get_branding`. HTML page: https://policylayer.com/tools/ai-featureboard-featureboard/get-branding

## Facts

- Tool: `get_branding`
- 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": "get_branding",
    "arguments": {}
  }
}
```

## Why get_branding is rated Low

This tool retrieves branding information (likely project branding/styling data) and returns it. The action is read-only with no side effects—it neither modifies data, executes code, deletes anything, nor involves financial transactions. The minimal description and generic 'Return the project' phrasing slightly reduce confidence, but the 'get_' prefix and retrieval context are clear indicators of a Read operation.

From the tool's own definition: "Tool name 'get_branding' with description 'Return the project' indicates a retrieval operation that queries or fetches data without modification."

## Use case

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

## 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