# close_sprint

Close a sprint and generate four audience-specific close-out reports (marketing, sales, technical, executive) from its tickets, work log, and metrics (velocity, tokens, $ cost, ADRs touched, CRM ticket links).

Agent View of the PolicyLayer registry record for `close_sprint`. HTML page: https://policylayer.com/tools/ai-featureboard-featureboard/close-sprint

## Facts

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

## Why close_sprint is rated Medium

Closing a sprint is a Write operation: it transitions a sprint to a closed state and generates derivative reports (marketing, sales, technical, executive summaries). This is reversible—sprints can typically be reopened in project boards. It modifies project state but does not irreversibly delete data (not Destructive), does not execute arbitrary code (not Execute), and does not move money (not Financial).

From the tool's own definition: "close_sprint closes a sprint (modifies state) and generates reports, but does not delete or destroy data. The description states it generates four report outputs from existing sprint data—a reversible state change typical of project management workflow…"

## Use case

AI agents use close_sprint 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": {
    "close_sprint": {
      "limits": [
        {
          "counter": "close_sprint_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`

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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