AI agents call agile.listEpics to retrieve information from Gojira without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves epic data from a Jira board without modifying, deleting, or executing any operations. It is a straightforward data retrieval function comparable to sibling tools like 'listBoards' and 'listSprints'. The blast radius of misuse is minimal—an agent listing epics cannot cause damage, financial loss, or unintended modifications to the system.
From the tool's definition Tool name 'listEpics' and description 'List epics on a board' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List epics on a board. It is categorised as a Read tool in the Gojira MCP Server, which means it retrieves data without modifying state.
Register the Gojira MCP server in PolicyLayer and add a rule for agile.listEpics: 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 Gojira. Nothing to install.
agile.listEpics 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 agile.listEpics 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 agile.listEpics. 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.
agile.listEpics is provided by the Gojira MCP server (windoze95/gojira-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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