AI agents call get_issue to retrieve information from Redmine without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves issue information without creating, modifying, deleting, or executing any actions. It is a simple query operation that returns existing data, fitting squarely into the Read category with low severity since it poses minimal risk if misused by an AI agent.
From the tool's definition Tool name 'get_issue' and description 'Get a single issue by ID with full details' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get a single issue by ID with full details. It is categorised as a Read tool in the Redmine MCP Server, which means it retrieves data without modifying state.
Register the Redmine 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 Redmine. Nothing to install.
get_issue 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 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.
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.
get_issue is provided by the Redmine MCP server (yenpu/redmine-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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