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AlpineDataWorks Intelligence Server

Transportation & Mobility Package

adw.adw_p22
Read-only

Returns a 0-100 county movement-network strength score (composite of 5 AlpineDataWorks V2 place-intelligence layers joined on county_fips) with composite_score, component_scores, drivers, and coverage. Call when the user asks about local transportation, transit, commute, freight, or road-network strength for a county or region, or when timing site selection, distribution-network expansion, or relocation decisions that hinge on mobility infrastructure. 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?

With annotations already declaring readOnlyHint=true, the description adds useful behavioral context: the composite construction from 5 layers, the nature of the score (0-100), the output fields, and an update cadence ('Updates: on source cadence'). It does not contradict annotations and provides more than minimal scoping, though it omits details like rate limits or data freshness specifics.

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, each earning its place: the first defines the output and structure, the second gives invocation guidance, and the third notes update frequency. There is no redundant or filler content.

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

Completeness3/5

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

The description covers the core return fields and usage scenarios, but it leaves ambiguity about granularity: does it return a score for a single county or for all counties? There is no parameter for county_fips in the schema. Without an output schema, the description should clarify this to avoid misinvocation. It also gives a vague update cadence. Overall, it is adequate but with clear gaps.

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 coverage is 100%, so the baseline is 3 even though the description does not mention the optional 'days' parameter. The schema itself already fully documents that parameter, including the Gold tier requirement, so the description adds no additional parameter meaning beyond what the schema provides.

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 states a specific verb ('Returns') and a concrete resource: a 0-100 county movement-network strength score composed of 5 specified layers joined on county_fips. It lists exact output fields (composite_score, component_scores, drivers, coverage), making it highly distinguishable from sibling tools by topic and output.

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 says 'Call when the user asks about local transportation, transit, commute, freight, or road-network strength for a county or region, or when timing site selection, distribution-network expansion, or relocation decisions that hinge on mobility infrastructure.' This provides clear usage context, but it does not mention when not to use it or suggest alternative tools, 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.

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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.

Resources