adw.adw_102
Enables traders to detect early-stage increases in fat-tail risk to prevent catastrophic drawdowns during market stress events.
This record as markdown: /tools/com-alpinedataworks-adw-intelligence-server/adw.adw-102.md
What adw.adw_102 does on AlpineDataWorks Intelligence Server
AI agents call adw.adw_102 to retrieve information from AlpineDataWorks Intelligence Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
days | integer | — | Optional: return a daily HISTORY series of the last N days (up to 5 years of real archived data) instead of the current snapshot. History requires Gold tier; wi |
Parameters from the server's own tool schema.
Why adw.adw_102 is rated Low
This tool appears to analyze and retrieve market risk intelligence data, enabling traders to identify tail risks and inform their decision-making. While the context involves financial markets and the data could be economically valuable, the tool itself does not execute trades, move money, or commit financial obligations — it only reads/queries risk metrics.
From the tool's definition Tool description indicates it 'detects early-stage increases in fat-tail risk' — a monitoring/analysis function that retrieves market risk data without modifying positions or executing trades.
Attacks that exploit this kind of access
The rule that runs adw.adw_102 safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AlpineDataWorks Intelligence Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adw.adw_102, this is the rule to start with:
adw.adw_102 is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AlpineDataWorks Intelligence Server, apply this rule, and every adw.adw_102 call is checked against it from then on.
Questions about adw.adw_102
Enables traders to detect early-stage increases in fat-tail risk to prevent catastrophic drawdowns during market stress events. It is categorised as a Read tool in the AlpineDataWorks Intelligence Server MCP Server, which means it retrieves data without modifying state.
adw.adw_102 accepts 1 parameter: days. The full parameter table on this page comes from the server's own tool schema.
Register the AlpineDataWorks Intelligence Server MCP server in PolicyLayer and add a rule for adw.adw_102: 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 AlpineDataWorks Intelligence Server. Nothing to install.
adw.adw_102 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 adw.adw_102 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 adw.adw_102. 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.
adw.adw_102 is provided by the AlpineDataWorks Intelligence Server MCP server (https://api.alpinedataworks.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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