AI agents call get_priorities to retrieve information from Redmine MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing priority data from the Redmine system. The verb 'Get' and the read-only nature of listing priorities without altering any state, creating issues, or triggering external operations clearly places this in the Read category. The blast radius of misuse is minimal—an AI agent could only view priority information, not modify or delete anything.
From the tool's definition Tool name 'get_priorities' and description 'Get a priority list of all available issues' indicate a retrieval operation with no modification of data.
Documented attack patterns abuse exactly the kind of access get_priorities gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Redmine MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_priorities:
{
"version": "1",
"default": "deny",
"tools": {
"get_priorities": {}
}
}get_priorities is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a priority list of all available issues. It is categorised as a Read tool in the Redmine MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Redmine MCP Server MCP server in PolicyLayer and add a rule for get_priorities: 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 MCP Server. Nothing to install.
get_priorities 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_priorities 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_priorities. 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_priorities is provided by the Redmine MCP Server MCP server (snowild/redmine-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Redmine MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Redmine MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.