Context Confidence for Jira answers one question before work starts: is this issue actually ready to be worked on?
Every Jira issue carries a variable amount of context — a description, acceptance criteria, a link to the report it came from, a component, an owner, a discussion trail, labels, an estimate, a timeline. When that context is thin, the cost does not show up at triage. It shows up three days later as a blocked developer, a reopened ticket, or a sprint review that discovers scope nobody wrote down. Context Confidence makes that cost visible at the moment the issue is opened.
The score. The app reads nine context signals from the issue and scores them against a fixed, published rubric that sums to exactly 100 points: description depth (18), acceptance criteria (16), summary clarity (12), linked issues (12), component and owner (10), discussion signal (10), label taxonomy (8), estimate (8), timeline (6). The total maps to one of five bands — Ship-ready (85+), Confident (70–84), Thin (50–69), Risky (30–49), Blind (below 30).
The gaps. A score alone is a judgement; a gap list is an instruction. For every point withheld the app names the signal, shows the measurement it actually used ("34 words (under 60)", "no AC heading, Given/When/Then or checklist"), and gives one concrete remediation. Gaps are ranked by points lost, so the single most valuable edit is always first.
Three surfaces, one engine.
- An issue panel renders the score, band, progress bar and ranked gaps inline on the issue — no tab switch, no export, no prompt to write.
- A Rovo agent ("Context Copilot") answers "how complete is this issue?", explains what to add first, and compares two issues to say which is safer to start.
- An MCP-exposed tool lets any third-party agent call the same scorer as a tool, so readiness becomes a check other agents can run before they pick up work.
All three call the same pure function. The panel, the agent and an external agent can never disagree about an issue's score.
Why it is deterministic. The scorer makes no model call, reads no clock, uses no randomness and performs no I/O. The same issue always produces the same score and the same gap order. That is deliberate: a readiness signal that changes between refreshes is not a signal anyone can act on — and it is what makes the whole rubric unit-testable, which is what makes the claim "working, non-trivial implementation" checkable rather than asserted.
Who it is for. Software teams on Jira Cloud: the developer who opens a one-line bug report and has to reconstruct intent, the tech lead deciding which of two issues is safer to start, and the team that wants its definition-of-done enforced before work begins instead of discovered afterwards.
Built With
- atlassian-forge
- jira
- jira-cloud
- mcp
- node.js
- rovo
- typescript
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