AI agents call usenami_venues_list to retrieve information from Usenami without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves a static catalog of venue information. It performs no writes, deletions, code execution, or financial transactions. It is purely informational, allowing an AI agent to discover which venues are available for subsequent queries.
From the tool's definition Tool name and description: 'Returns the catalog of perpetual futures venues Usenami tracks' — this is a retrieval/query operation that provides reference data about available venues with no side effects.
Attacks that exploit this kind of access
Returns the catalog of perpetual futures venues Usenami tracks. It is categorised as a Read tool in the Usenami MCP Server, which means it retrieves data without modifying state.
Register the Usenami MCP server in PolicyLayer and add a rule for usenami_venues_list: 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 Usenami. Nothing to install.
usenami_venues_list 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 usenami_venues_list 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 usenami_venues_list. 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.
usenami_venues_list is provided by the Usenami MCP server (namixai/usenami-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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