AI agents call find_issues to retrieve information from Coolify without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs scanning and diagnostics, which are read-only operations that retrieve information about infrastructure health/state. 'Scan' and 'find' language patterns indicate data retrieval rather than modification, execution, or deletion. No side effects on infrastructure are implied.
From the tool's definition Tool name 'find_issues' and description 'Scan infrastructure for problems' indicate a diagnostic/monitoring operation that queries and reports on infrastructure state without modifying or executing actions.
Attacks that exploit this kind of access
Scan infrastructure for problems. It is categorised as a Read tool in the Coolify MCP Server, which means it retrieves data without modifying state.
Register the Coolify MCP server in PolicyLayer and add a rule for find_issues: 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 Coolify. Nothing to install.
find_issues 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 find_issues 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 find_issues. 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.
find_issues is provided by the Coolify MCP server (jurislm/coolify-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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