# log_bug

Log a bug to a board

Agent View of the PolicyLayer registry record for `log_bug`. HTML page: https://policylayer.com/tools/ai-featureboard-featureboard/log-bug

## Facts

- Tool: `log_bug`
- 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: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

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

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

## Why log_bug is rated Medium

The tool creates a new bug entry in the board, which is a reversible modification of data (bugs can be edited, closed, or deleted). This is Write category rather than Execute because it doesn't run code or trigger external operations—it simply records information.

From the tool's own definition: "Tool name 'log_bug' and description 'Log a bug to a board' indicate creation of a new bug record in the project board system. This is a write operation that creates data."

## Use case

AI agents use log_bug to create or update resources in FeatureBoard, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FeatureBoard environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches FeatureBoard:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "log_bug": {
      "limits": [
        {
          "counter": "log_bug_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## 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