AI agents call earnings_screener to retrieve information from Finviz MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool screens or filters earnings data from Finviz without modifying, executing arbitrary code, deleting, or moving money. It retrieves information about company earnings, which is a read-only operation with no side effects or financial impact. Low severity because misuse would only expose or retrieve historical financial information available through public sources.
From the tool's definition Tool name 'earnings_screener' combined with server context describing 'earnings tracking' and 'SEC filing retrieval' indicates data retrieval functionality.
Documented attack patterns abuse exactly the kind of access earnings_screener gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Finviz MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for earnings_screener:
{
"version": "1",
"default": "deny",
"tools": {
"earnings_screener": {}
}
}earnings_screener is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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earnings_screener. It is categorised as a Read tool in the Finviz MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Finviz MCP Server MCP server in PolicyLayer and add a rule for earnings_screener: 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 Finviz MCP Server. Nothing to install.
earnings_screener 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 earnings_screener 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 earnings_screener. 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.
earnings_screener is provided by the Finviz MCP Server MCP server (tradermonty/finviz-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 35 Finviz MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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35 Finviz MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.