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AlpineDataWorks Intelligence Server

Regulated Facilities Index

adw.adw_518
Read-only

Returns a 0-100 county regulated-facility concentration score (log-scaled z-score of active EPA ECHO facility counts across all 3,222 US counties; higher = denser facility burden) with prevalence, natl_pctile, Low/Elevated/High band, population, and methodology_version. Call when the user asks about EPA-regulated facilities, polluter or industrial concentration, or compliance burden in a county, or when timing site selection, Phase I escalation, or premises-pollution underwriting. 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

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds meaningful context beyond that: the scoring methodology, included fields, update cadence, and the Gold-tier requirement for history series. No contradictions; the behavior is well disclosed for a read-only index tool.

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

Conciseness4/5

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

The description is moderately long but dense and front-loaded with the key output definition. The use-case list and update cadence are valuable, though the parenthetical methodology clause could be tightened without losing meaning.

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?

Given no output schema, the description compensates by listing all return fields and the score scale. It also explains the optional history behavior and typical use contexts. However, it does not explain how the target county is selected since no county parameter exists, which is a minor gap for an agent.

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 only parameter, 'days', is fully documented in the schema with range, purpose, and tier behavior, so schema coverage is 100%. The description does not add extra parameter semantics, but the baseline of 3 applies because the schema does the heavy lifting.

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 opens with a specific verb 'Returns' and names the exact output: a 0-100 county regulated-facility concentration score. It further specifies methodology (log-scaled z-score of EPA ECHO facility counts across 3,222 counties) and lists the included fields, leaving no ambiguity about the tool's purpose.

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?

Explicitly lists when to call it: for EPA-regulated facilities, polluter/industrial concentration, compliance burden, site selection, Phase I escalation, and premises-pollution underwriting. It does not explicitly contrast with sibling tools or state when not to use it, but the use-case enumeration is clear enough for an agent.

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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