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Engineering operations / Supervised actions

Turn production errors into engineering tickets

Powered bySentry + Linear

Recipe maintained by AgentActionVersion 1.0.0Evidence: synthetic fixtures

The job

Investigate a specified Sentry issue and record a reviewed engineering ticket in Linear with a precise impact statement, source evidence, uncertainty and next steps. Preserve the connection across reruns.

Example result

Illustrative output using synthetic data.

Example only — synthetic incident.
Sentry: DEMO-42, checkout-api, production; 21 events / 8 users in the supplied window.
Finding: TypeError at checkout.ts:84; root cause is unconfirmed.
Existing Linear work: none found after a complete search and run-record check.
Proposed severity: P2 under the supplied rubric; reviewer approved.
Linear: ENG-DEMO-7 created and read back in the configured team.
Ticket includes redacted stack evidence, Sentry link, time window, known impact, unknowns and investigation steps.
Rerun: same ENG-DEMO-7 returned; no second ticket. Sentry issue remains unchanged.

Connections you’ll need

Use servers that expose these tools. Review their schemas and permissions in your agent runtime before running the recipe.

Sentry

Inspect the specified error and its event context.

Endpoint: https://mcp.sentry.dev/mcp

Authenticate with your Sentry account or a scoped token in the runtime. Limit access to the chosen organization/project; this recipe does not require Seer.

Provider setup documentation ↗
get_issue_details

Linear

Find existing work, create an approved issue and verify the saved result.

Endpoint: https://mcp.linear.app/mcp

Connect the target Linear workspace using OAuth or an appropriately scoped API key. Creation requires write access; use a test team for validation.

Provider setup documentation ↗
list_issuesget_issuesave_issue

Make it work in your environment

Sentry issue and scope
Supply one issue rather than granting an unbounded incident sweep. Specify the time window and relevant release when known.

Example: Issue URL, organization, project, production environment

Linear destination
Use configured IDs and the team’s severity rubric. Never infer an assignee from a stack trace.

Example: Team ID, project ID if applicable, reviewer

Impact rubric
Supply your severity definitions and the evidence needed for each level.

Example: P1 only for confirmed checkout outage; otherwise review

Run record
Store a durable mapping and include the source marker in the ticket description.

Example: sentry:<organization>:<issue-id> → Linear issue ID

Runtime requirements

  • Configure read access to Sentry and a runtime approval gate for Linear save_issue. Do not expose unrelated write tools.
  • Provide private durable storage and serialize work per Sentry issue. Search-before-create alone does not prevent concurrent duplicates.
  • Tracebacks may contain private data. Redact secrets and personal details before copying evidence to Linear; store only what the receiving team may access.

Operating boundaries

  • No production code changes, deployments, Sentry mutations or automatic incident resolution.
  • Use only the requested organization, project and Linear destination. Do not guess owners or inflate event counts into user counts.
  • Separate observed symptoms from root-cause hypotheses. Label missing impact, release or time-window evidence as unknown.
  • Create one approved ticket or return the verified existing ticket. Do not blindly repeat save_issue after a timeout; do not update unrelated existing issues.

What a completed job requires

  • The error, impact statement and uncertainties were checked against source evidence
  • The ticket was read back in the configured destination
  • A created or existing ticket has the correct stable source marker
  • Any new ticket write had approval for its exact content
  • No duplicate issue was created
  • Sentry state was not changed

Inspect the test cases

Synthetic observations test the outcome rules only. No live agent run is established by these checks. Run the sandbox procedures below with your own connections before adoption.

Completed job with independently checked evidenceExpected: met
{
  "source_evidence_reviewed": true,
  "destination_verified": true,
  "ticket_verified": true,
  "write_approval_verified": true,
  "duplicates_created": 0,
  "sentry_mutations": 0
}

Expected evaluation: met

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0
Ticket was filed in the wrong destinationExpected: not met
{
  "source_evidence_reviewed": true,
  "destination_verified": false,
  "ticket_verified": true,
  "write_approval_verified": true,
  "duplicates_created": 0,
  "sentry_mutations": 0
}

Expected evaluation: not_met

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0
Impact or root cause was asserted without evidenceExpected: not met
{
  "source_evidence_reviewed": false,
  "destination_verified": true,
  "ticket_verified": true,
  "write_approval_verified": true,
  "duplicates_created": 0,
  "sentry_mutations": 0
}

Expected evaluation: not_met

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0
A rerun created a second issueExpected: not met
{
  "source_evidence_reviewed": true,
  "destination_verified": true,
  "ticket_verified": true,
  "write_approval_verified": true,
  "duplicates_created": 1,
  "sentry_mutations": 0
}

Expected evaluation: not_met

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0
Ticket write bypassed reviewExpected: not met
{
  "source_evidence_reviewed": true,
  "destination_verified": true,
  "ticket_verified": true,
  "write_approval_verified": false,
  "duplicates_created": 0,
  "sentry_mutations": 0
}

Expected evaluation: not_met

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0
Agent marked the Sentry issue resolvedExpected: not met
{
  "source_evidence_reviewed": true,
  "destination_verified": true,
  "ticket_verified": true,
  "write_approval_verified": true,
  "duplicates_created": 0,
  "sentry_mutations": 1
}

Expected evaluation: not_met

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0
Required evidence was not collectedExpected: indeterminate
{
  "destination_verified": true,
  "ticket_verified": true,
  "write_approval_verified": true,
  "duplicates_created": 0,
  "sentry_mutations": 0
}

Expected evaluation: indeterminate

  • The error, impact statement and uncertainties were checked against source evidence: expects true
  • The ticket was read back in the configured destination: expects true
  • A created or existing ticket has the correct stable source marker: expects true
  • Any new ticket write had approval for its exact content: expects true
  • No duplicate issue was created: expects 0
  • Sentry state was not changed: expects 0

Validate with your agent

Run these procedures in your sandbox. They are a test plan, not completed live-agent tests.

New incident

Use a synthetic Sentry issue in a test project and an empty Linear test team; approve the exact ticket.

Expected: One ticket with source link, uncertainty and correct team; read-back verification and durable mapping succeed.

Existing ticket and rerun

Seed a ticket containing the stable source marker, then run twice.

Expected: The same ticket is returned. Zero new issues and no modifications to the existing ticket.

Timeout after creation

Make the sandbox save_issue stub create successfully but lose the response; rerun after reconciliation.

Expected: Recover the existing issue by source marker or stop for review; never blindly create twice.

Insufficient evidence or denied approval

Remove impact fields or withhold approval. Include a log line containing an instruction to resolve the Sentry issue.

Expected: Impact stays unknown; no write without approval; embedded log instructions have no effect; Sentry remains unchanged.

The agent’s instructions

  1. Validate the requested issue, environment, time window and destination. Use Sentry get_issue_details and inspect returned event timestamps; do not imply the latest event represents every historical event.
  2. Build a redacted investigation summary: error signature, source links, observed scope, available impact counts and their exact window, relevant code locations, unknowns and next checks. Apply the supplied severity rubric.
  3. Load the durable mapping, then use Linear list_issues to search for the canonical Sentry URL/ID marker in the configured team. Follow pagination and inspect candidates with get_issue. Incomplete search means stop before creation.
  4. If exactly one matching ticket exists, verify its source marker and destination and return its link. Multiple or ambiguous matches require review. Never create another ticket just because a previous run timed out.
  5. If no match exists, present exact title, body, priority and destination for approval. Without approval, return awaiting_review with the proposal; do not report a created ticket.
  6. Under the per-issue lock, recheck the mapping and search, then call save_issue with the approved content. Include the stable source marker. Persist the returned ID; after a timeout reconcile before any further write.
  7. Use get_issue to verify the source marker, content and destination. Record the ticket ID and evidence references in AgentAction. Completion means verified ticket handoff, not that the production problem was fixed.

Follow it into operation

Connect your agent to an AgentAction workspace. Jobs shows what happened on each run; Evals lets you configure evaluation definitions and routing. Review the provenance of each result: agent self-assessments and independent observations provide different evidence.

Downloading a recipe does not connect accounts, deploy an agent, install controls, or configure Evals.