AI agents call get_logs to retrieve information from Iris MCP 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 log data from memory. The verb 'Query' and action of reading logs without altering state, triggering external operations, or deleting data places it in the Read category. Severity is low because logs typically contain non-sensitive operational data, and misuse by an agent would be limited to information disclosure rather than system compromise or data loss.
From the tool's definition Tool name 'get_logs' and description 'Query in-memory logs from the Iris MCP server' indicate retrieval of log data with no modification or side effects.
Attacks that exploit this kind of access
Query in-memory logs from the Iris MCP server. It is categorised as a Read tool in the Iris MCP MCP Server, which means it retrieves data without modifying state.
Register the Iris MCP server in PolicyLayer and add a rule for get_logs: 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 Iris MCP. Nothing to install.
get_logs 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_logs 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_logs. 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_logs is provided by the Iris MCP server (jenova-marie/iris-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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