AI agents call list_agents to retrieve information from Gptqueue without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns a list of registered agents without modifying any state, deleting data, executing code, or triggering external operations. It is a simple discovery/enumeration function that fits the Read category. Severity is low because listing agent metadata poses minimal risk; an agent discovering peer agents in a queue system is a benign informational operation.
From the tool's definition Tool name 'list_agents' and description 'Discover other agents. Returns each agent' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Discover other agents. Returns each agent. It is categorised as a Read tool in the Gptqueue MCP Server, which means it retrieves data without modifying state.
Register the Gptqueue MCP server in PolicyLayer and add a rule for list_agents: 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 Gptqueue. Nothing to install.
list_agents 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_agents 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_agents. 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_agents is provided by the Gptqueue MCP server (rahulrajaram/gptqueue). 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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