Skip to main content
Glama

AlpineDataWorks Intelligence Server

Deep Health Package

adw.adw_p17
Read-only

Returns a 0-100 county health-risk breakdown (composite of 8 AlpineDataWorks V2 place-intelligence layers joined on county_fips) with composite_score, per-layer component_scores, ranked drivers, and coverage. Call when the user asks what is driving health risk in a county beneath the headline score, why a place scores as unhealthy, or how counties compare — or when timing market entry, provider-network expansion, or community-health investment. Updates: on source cadence.

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

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, and the description is consistent with those. It adds useful output composition context and a vague update cadence note, but does not clarify limitations, data lag, or how county identity is determined. This is adequate but not rich.

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 three sentences: the first states the output, the second gives usage guidance, and the third notes updates. Every sentence earns its place and the key return structure is front-loaded.

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

Completeness2/5

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

The tool claims to return a county-level breakdown but the input schema has no county_fips parameter, and the description never explains how the target county is selected (e.g., from context, all counties, or some other mechanism). This is a serious omission for an agent trying to invoke the tool correctly, despite the output fields being partially described.

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?

Schema description coverage is 100% for the only parameter (days), so the schema carries the parameter burden. The description does not mention days at all, and notably fails to explain how the county is selected given no county parameter exists, which is a gap in tool semantics.

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 uses a specific verb ('Returns') and clearly identifies the resource: a 0-100 county health-risk breakdown with composite_score, per-layer component_scores, ranked drivers, and coverage. It distinguishes itself from siblings by emphasizing the depth ('beneath the headline score') and the composite of 8 layers.

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?

Explicit call scenarios are given: when users ask what is driving health risk in a county, why a place scores unhealthy, how counties compare, or when timing market entry/expansion/investment. It lacks explicit 'when not to use' or named alternatives, so it stops short of a 5.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources