get_issue

get_issue

Server MCP Atlassian sooperset/mcp-atlassian
Category Read
Risk class Low
Parameters 00 required

What get_issue does on MCP Atlassian

AI agents call get_issue to retrieve information from MCP Atlassian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_issue needs a policy

The tool name and context strongly suggest this retrieves issue data from Jira without modification. Although the description is empty (lowering confidence slightly from 0.9), the naming convention and sibling tools (get_agile_boards, get_all_projects, get_board_issues, get_comments) establish a clear read-only pattern. This is a low-severity tool as it only fetches data with no side effects.

From the tool's definition Tool name 'get_issue' indicates a retrieval operation; the sibling tools on this server follow a consistent pattern (get_*, download_*) that are all read-only query operations typical of Atlassian API integrations for retrieving issue data from Jira.

Questions about get_issue

What does the get_issue tool do? +

get_issue. It is categorised as a Read tool in the MCP Atlassian MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_issue? +

Register the MCP Atlassian MCP server in PolicyLayer and add a rule for get_issue: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Atlassian. Nothing to install.

What risk level is get_issue? +

get_issue is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_issue? +

Yes. Add a rate_limit block to the get_issue rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_issue completely? +

Set action: deny in the PolicyLayer policy for get_issue. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_issue? +

get_issue is provided by the MCP Atlassian MCP server (sooperset/mcp-atlassian). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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