AI agents call list_signals to retrieve information from Refinex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or lists data (arbitrage signals) from the refinex-mcp server without modifying, deleting, or executing operations. It is a read operation with minimal blast radius—returning incorrect or sensitive signal data would not cause irreversible damage or unauthorized actions.
From the tool's definition Tool name 'list_signals' combined with server description indicates querying/listing arbitrage signals. No modification, deletion, or execution of external operations described.
Attacks that exploit this kind of access
list_signals. It is categorised as a Read tool in the Refinex MCP Server, which means it retrieves data without modifying state.
Register the Refinex MCP server in PolicyLayer and add a rule for list_signals: 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 Refinex. Nothing to install.
list_signals 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_signals 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_signals. 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_signals is provided by the Refinex MCP server (keithrawlingsbrown/refinex-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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