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AlpineDataWorks Intelligence Server

Behavioral-Health Stress

adw.adw_121
Read-only

Returns a 0-100 US behavioral-health stress score (annual composite z-score of CDC PLACES mental-distress and depression prevalence, history to 1951) with value, confidence, and source_lineage fields to separate real signal from small-area estimation noise. Call when the user asks about mental-health strain, depression rates, psychological distress, or EAP demand, or when timing employee-assistance outreach, telehealth benefit promotion, or regional workforce wellbeing interventions. Updates: annually.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoOptional: 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; without it, the current snapshot is returned.

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite readOnlyHint=true, the description adds valuable behavioral context: it explains that the 'source_lineage' fields exist to 'separate real signal from small-area estimation noise' and notes 'Updates: annually.' These details go beyond the annotations and inform the user about data quality and freshness.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the core return value and composition. It then provides usage triggers and update frequency with no wasted words. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description names the return fields (value, confidence, source_lineage) and explains the score's derivation and purpose. It covers the main aspects needed to invoke the tool, but does not detail the exact types or structure of those fields, and the 'days' parameter is only documented in the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description does not mention the 'days' parameter, but the input schema already provides a thorough description (returning a daily history series, up to 5 years, Gold tier requirement). With 100% schema coverage, the baseline is 3, and the description adds no additional parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it 'Returns a 0-100 US behavioral-health stress score' with details on composition (CDC PLACES mental-distress and depression prevalence) and scope (US, history to 1951). It is specific about the resource and what it provides, making it distinguishable even though sibling tools are not explicitly compared.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to call: 'Call when the user asks about mental-health strain, depression rates, psychological distress, or EAP demand...' This provides clear context for use. However, it does not mention when not to use or name alternative tools, so it falls short of the 5-level.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.3/5.0
Disambiguation1/5

With 318 tools named adw.adw_###, agents cannot tell them apart without reading full descriptions. Multiple tools cover the same domain (e.g., at least three USD strength scores: adw_055, adw_250, adw_580; four supply-chain stress scores: adw_009, adw_019, adw_020, adw_547), making misselection highly likely.

Naming Consistency3/5

The vast majority follow a consistent numeric ID pattern (adw.adw_###), but a small set breaks this with descriptive snake_case names (adw.catalog, adw.sample, adw.county_cancer, etc.). The numeric IDs are predictable but convey no semantic meaning, mixing with the few named tools and creating moderate inconsistency.

Tool Count1/5

318 tools is far beyond any reasonable scope for an intelligence server; even the largest sophisticated APIs rarely exceed 50. This extreme count suggests poor curation and will overwhelm agents with choice, making efficient tool selection impractical.

Completeness3/5

The server covers an extremely broad range of domains (crypto, macro, supply chain, healthcare, climate, county demographics), and includes discovery tools like adw.catalog and adw.sample. However, the surface is redundant and not systematically complete—many overlapping indices exist while other potentially valuable operations (e.g., raw data export, historical trend queries) are missing, leaving moderate gaps.

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