List the models the ParalleliX network currently serves.
AI agents call network_status to retrieve information from Parallelix without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries network state and returns information about available models without modifying any data, executing commands, or triggering side effects. It is a straightforward informational read operation with minimal risk if misused by an AI agent.
From the tool's definition Tool description states 'List the models' which is a retrieval operation with no side effects. The verb 'list' is explicitly a read operation.
Attacks that exploit this kind of access
List the models the ParalleliX network currently serves. It is categorised as a Read tool in the Parallelix MCP Server, which means it retrieves data without modifying state.
Register the Parallelix MCP server in PolicyLayer and add a rule for network_status: 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 Parallelix. Nothing to install.
network_status 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 network_status 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 network_status. 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.
network_status is provided by the Parallelix MCP server (parallelixnetwork/parallelix-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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