AI agents call list_news 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 or queries news entries from Redmine without creating, modifying, deleting, or executing any side effects. It has minimal blast radius if misused by an AI agent—the worst outcome would be unauthorized information disclosure of news content already stored in the system. This is a classic Read category operation.
From the tool's definition Tool name 'list_news' and description 'List news entries' indicate a retrieval operation with no parameters that modify data. The description explicitly states it 'lists' information, which is a read-only query.
Attacks that exploit this kind of access
List news entries. If project_id is None, lists across all. 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 list_news: 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.
list_news 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_news 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_news. 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_news is provided by the Redmine MCP server (KalvadTech/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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