AI agents use send_message 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 modifies data (message records) in the queue system, making it a Write operation. Severity is medium because while message sending itself is reversible and has limited blast radius in isolation, misuse could enable spam, misinformation, or unauthorized inter-agent communication that disrupts the multi-agent system.
From the tool's definition Tool description states 'Send a message to another agent', which creates a new message record in the Redis-backed queue.
Attacks that exploit this kind of access
Send a message to another agent. 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 send_message: 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.
send_message 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 send_message 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 send_message. 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.
send_message 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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