Get upcoming earnings dates with timing (BMO/AMC) and EPS estimates. Args: symbols: Single symbol or comma-separated list (e.g., 'AAPL' or 'AAPL,MSFT,GOOGL')
AI agents call earnings_calendar to retrieve information from Trading Skills without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only fetches and returns financial calendar data. It neither modifies market data, executes trades, nor triggers any external operations. The action is purely informational retrieval, making it a Read category with low severity since misuse would only expose historical/predictable public financial information rather than enable financial transactions or system compromise.
From the tool's definition Tool retrieves "upcoming earnings dates with timing (BMO/AMC) and EPS estimates" — a data query operation with no side effects. Arguments accept symbols for filtering without any modification capabilities.
Documented attack patterns abuse exactly the kind of access earnings_calendar gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Trading Skills, and nothing reaches the server without passing your rules. This is the rule we recommend for earnings_calendar:
{
"version": "1",
"default": "deny",
"tools": {
"earnings_calendar": {}
}
}earnings_calendar is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get upcoming earnings dates with timing (BMO/AMC) and EPS estimates. Args: symbols: Single symbol or comma-separated list (e.g., 'AAPL' or 'AAPL,MSFT,GOOGL'). It is categorised as a Read tool in the Trading Skills MCP Server, which means it retrieves data without modifying state.
Register the Trading Skills MCP server in PolicyLayer and add a rule for earnings_calendar: 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 Trading Skills. Nothing to install.
earnings_calendar 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_calendar 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_calendar. 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_calendar is provided by the Trading Skills MCP server (staskh/trading_skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 35 Trading Skills tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
35 Trading Skills tools catalogued and risk-classified — across an index of 42,500+ MCP servers.