Global Macro Pack — aggregates macro indicators + FX rates + interest rate environment + inflation data + consumer/labour data across multiple economies into a single macro intelligence report. Use this tool when: - A macro-driven trading agent needs a complete global economic picture - A portfol...
AI agents call run_bundle_macro_global to retrieve information from Omni Service Node without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and aggregates publicly available macroeconomic data (interest rates, CPI, GDP growth, unemployment) across multiple economies. It is purely a read/query operation with no side effects. While it feeds into trading and financial decision-making contexts, the tool itself does not execute trades or move money — it only returns an intelligence report.
From the tool's definition aggregates macro indicators + FX rates + interest rate environment + inflation data + consumer/labour data across multiple economies into a single macro intelligence report
Attacks that exploit this kind of access
Global Macro Pack — aggregates macro indicators + FX rates + interest rate environment + inflation data + consumer/labour data across multiple economies into a single macro intelligence report. Use this tool when: - A macro-driven trading agent needs a complete global economic picture - A portfolio agent is assessing macro regime (risk-on/risk-off, hawkish/dovish) for asset allocation - You need to compare economic conditions across multiple countries simultaneously - A currency trading agent wants macro context for FX positioning Returns per country: interest_rate, CPI, GDP_growth, unemployment, yield_curve, currency_strength, macro_regime (HAWKISH/DOVISH/NEUTRAL). Also: global_risk_score, recommended_asset_allocation. Example: runBundleMacroGlobal({ countries:. It is categorised as a Read tool in the Omni Service Node MCP Server, which means it retrieves data without modifying state.
Register the Omni Service Node MCP server in PolicyLayer and add a rule for run_bundle_macro_global: 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 Omni Service Node. Nothing to install.
run_bundle_macro_global 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 run_bundle_macro_global 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 run_bundle_macro_global. 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.
run_bundle_macro_global is provided by the Omni Service Node MCP server (luckkyyy23/omni-service-node). 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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