adw.adw_106
Returns a daily 0-100 return-asymmetry score for US equities (SPY 60-day returns; 90th-percentile upper-tail mean minus 10th-percentile lower-tail mean; 50=symmetric, >50=upside skew) with trend, confidence, top_drivers, tmd_raw, and upper/lower tail means. Call when the user asks about return sk...
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What adw.adw_106 does on AlpineDataWorks Intelligence Server
AI agents call adw.adw_106 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_106 is rated Low
Even though adw.adw_106 only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs adw.adw_106 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_106, this is the rule to start with:
adw.adw_106 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_106 call is checked against it from then on.
Questions about adw.adw_106
Returns a daily 0-100 return-asymmetry score for US equities (SPY 60-day returns; 90th-percentile upper-tail mean minus 10th-percentile lower-tail mean; 50=symmetric, >50=upside skew) with trend, confidence, top_drivers, tmd_raw, and upper/lower tail means. Call when the user asks about return skewness, tail risk asymmetry, fat tails, or non-linear return dynamics, or when timing factor rotations between momentum/growth and defensive low-volatility tilts. Updates: daily. It is categorised as a Read tool in the AlpineDataWorks Intelligence Server MCP Server, which means it retrieves data without modifying state.
adw.adw_106 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_106: 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_106 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_106 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_106. 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_106 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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