This record as markdown: /tools/1broseidon-mcp-jira-server/list-issues.md
What list_issues does on Mcp Jira
AI agents call list_issues to retrieve information from Mcp Jira without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_issues is rated Low
This tool queries and retrieves existing Jira issues without modifying, deleting, or executing any operations. It is a pure read operation that returns data about existing issues. Severity is low because listing issues has minimal blast radius; the worst outcome is unauthorized information disclosure of project issues.
From the tool's definition Tool name is 'list_issues' and description states 'List issues in the project' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs list_issues safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Jira, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_issues, this is the rule to start with:
list_issues is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Jira, apply this rule, and every list_issues call is checked against it from then on.
Questions about list_issues
List issues in the project. It is categorised as a Read tool in the Mcp Jira MCP Server, which means it retrieves data without modifying state.
Register the Mcp Jira MCP server in PolicyLayer and add a rule for list_issues: 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 Jira. Nothing to install.
list_issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_issues 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.
Set action: deny in the PolicyLayer policy for list_issues. 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.
list_issues is provided by the Mcp Jira MCP server (1broseidon/mcp-jira-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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