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AlpineDataWorks Intelligence Server

Travel, Tourism & Heritage Package

adw.adw_p08
Read-only

Returns a 0-100 travel, tourism, and heritage appeal score for any US county (composite of AlpineDataWorks place-intelligence layers cataloging attractions, tourism assets, and heritage sites, joined on county_fips) with composite_score, component_scores, named drivers, and coverage. Call when the user asks what is worth visiting in a place, which destinations to compare, or where tourism assets cluster — or when timing itinerary, site-selection, or market-entry decisions. 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

A3.9/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, and the description adds valuable context by explaining the score is a composite of AlpineDataWorks place-intelligence layers, listing the returned fields, and noting update cadence. It does not contradict the annotations and provides meaningful behavioral detail beyond the read-only hint.

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 compact and front-loaded: the first sentence states the purpose and output fields, the second lists concrete use cases, and 'Updates: on source cadence' is a brief timeliness note. It is efficient, though the long list of use cases makes it slightly dense.

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?

With no output schema, the description usefully enumerates the returned fields and provides use-case guidance. However, it fails to explain how the county is specified given the schema's only parameter is optional days, and it does not describe the score's output structure or data limitations. The description is adequate but has clear gaps.

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

Parameters2/5

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

The schema fully documents the only parameter, days, including its tier requirement, so a baseline of 3 applies. However, the description's claim of returning a score 'for any US county ... joined on county_fips' implies a county selection mechanism that is absent from the schema, creating ambiguity about how the agent specifies the county. The description adds no parameter-level clarity and actually introduces a mismatch.

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 phrase 'Returns a 0-100 travel, tourism, and heritage appeal score for any US county' and clearly names the composite layers and output fields (composite_score, component_scores, named drivers, coverage). This distinguishes the tool from the many opaque sibling tools by identifying exactly what it produces.

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 what is worth visiting in a place, which destinations to compare, or where tourism assets cluster — or when timing itinerary, site-selection, or market-entry decisions.' It provides clear usage context but does not mention exclusions or alternative sibling tools, so a 4 is appropriate.

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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