Complete user guide

Last updated 2026-10-05

AgentLens gives AI agents (Claude, ChatGPT, Cursor, Rovo and any client that speaks MCP) their own set of Jira tools and puts every call through your rules. Agents can read what you allow, changes you mark as risky wait for a person to approve, sensitive values are masked before the model sees them, and every call is logged.

AgentLens is coming soon to the Atlassian Marketplace and is not listed yet. Setup steps are in getting started.

1. The tools agents get

ToolWhat it doesType
list-projectsProjects the person can see and agents may useread
search-issuesJQL search, up to 50 per pageread
get-issueOne issue with description, people, dates, labels, custom fieldsread
get-commentsLatest comments, newest firstread
get-transitionsWorkflow moves available nowread
check-requestStatus of a change waiting for approvalread
add-commentComment on an issuewrite
update-issueSummary, description, priority, labels, due date, custom fieldswrite
transition-issueMove an issue by transition name, id or target statuswrite
assign-issueAssign to "me", a name, an account id or "unassigned"write
create-issueCreate an issue in a projectwrite

Every call runs as the person who connected the agent, so Jira project permissions and issue security apply.

2. Policies

3. Approvals

When a rule says approve, the change is not made. The agent receives "pending approval, request #N" and a preview, and the request appears on Apps → AgentLens approvals (and the Approvals tab for admins) with the old and new values. Approve and apply, or reject with a note.

The agent can check progress with check-request.

4. Masking and untrusted content

5. Overview, audit log, Monitor and exports

6. Limits

See known limitations and security and privacy.

7. Roadmap

Confluence tools, AI-model screening for injection (Atlassian's own models, no egress), Slack and Teams approvals, per-tool switches, a scheduled compliance report and SIEM export.


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