Register this agent with a name, role, and description. The agent MUST ask the user to choose a name if one was not provided via GPTQ_AGENT_NAME. Can also be called again to rename midway -- pending messages are migrated.
AI agents use register_agent to create or update resources in Gptqueue — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gptqueue environment.
This tool creates or updates agent registration records (name, role, description), which is a reversible modification to the queue system's state. It does not execute arbitrary code, delete data, or move money. The medium severity reflects that misuse could disrupt agent discovery or enable impersonation within the queue system, but the impact is limited to the messaging infrastructure.
From the tool's definition 'Register this agent with a name, role, and description' and 'Can also be called again to rename midway' indicate the tool creates and modifies registration state in the Redis-backed queue system.
Attacks that exploit this kind of access
Register this agent with a name, role, and description. The agent MUST ask the user to choose a name if one was not provided via GPTQ_AGENT_NAME. Can also be called again to rename midway -- pending messages are migrated. It is categorised as a Write tool in the Gptqueue MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gptqueue MCP server in PolicyLayer and add a rule for register_agent: 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.
register_agent is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the register_agent 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 register_agent. 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.
register_agent 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.
Teams ship this data inside their own products. See what a licence covers →