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AlpineDataWorks Intelligence Server

US Semiconductor Import Concentration

adw.adw_611
Read-only

Returns a 0-100 US chip-import concentration score (Herfindahl index of HS 8542 imports by partner country, UN Comtrade, z-scored vs the trailing decade) with trend, z_score, latest_hhi_0_10000, top_partners, and latest_total_imports_usd. Call when the user asks about semiconductor supply-chain fragility or US chip-sourcing dependence on Taiwan or Malaysia, or when timing dual-sourcing, buffer-stock, or supplier-qualification decisions. Updates: weekly.

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?

Annotations already declare readOnlyHint=true, and the description adds useful behavioral context: it explains the score calculation (Herfindahl, z-scored vs trailing decade), lists output fields, and notes the weekly update frequency. There is no contradiction with annotations, and the added detail helps the agent understand what to expect.

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 plus a short update note, skillfully packing the metric definition, output fields, use cases, and freshness. Every sentence earns its place, and the key purpose is front-loaded.

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?

The description is quite complete for a read-only tool: it explains the score, outputs, use cases, and update frequency. The schema covers the 'days' parameter, so the only minor gap is that the default snapshot behavior is not explicitly stated in the description, but that is present 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 sole optional parameter 'days' is fully documented in the schema with description, maximum, and tier requirement (Gold tier). The tool description adds no additional parameter semantics, so with 100% schema coverage the baseline score of 3 is appropriate.

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 the tool returns a 0-100 US chip-import concentration score, defines it as a Herfindahl index of HS 8542 imports, and lists specific output fields. This verb+resource+scope is precise and distinguishes it from the many sibling tools, especially with concrete use cases like supply-chain fragility.

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 tells when to call: 'Call when the user asks about semiconductor supply-chain fragility or US chip-sourcing dependence on Taiwan or Malaysia, or when timing dual-sourcing, buffer-stock, or supplier-qualification decisions.' This is clear context, but it does not mention when-not-to-use or alternative tools, so it falls 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.

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