get_issue

Retrieve detailed information about a specific Jira issue including status, assignee, description, comments, and workflow data. Use this to get current state before making updates.

Server Raalarcon Jira raalarcon-jira-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_issue does on Raalarcon Jira

AI agents call get_issue to retrieve information from Raalarcon Jira 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

This tool retrieves and queries issue data without creating, modifying, deleting, or executing operations. It returns information about status, assignee, description, comments, and workflow data. The phrase 'get current state' confirms it is a non-mutating read operation with minimal blast radius if misused.

From the tool's definition Tool description states 'Retrieve detailed information about a specific Jira issue' and explicitly notes 'Use this to get current state before making updates', indicating read-only data retrieval with no side effects.

Questions about get_issue

What does the get_issue tool do? +

Retrieve detailed information about a specific Jira issue including status, assignee, description, comments, and workflow data. Use this to get current state before making updates. It is categorised as a Read tool in the Raalarcon Jira MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_issue? +

Register the Raalarcon Jira 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 Raalarcon Jira. 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 Raalarcon Jira MCP server (raalarcon-jira-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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