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AlpineDataWorks Intelligence Server

Seismic Event Intensity

adw.adw_212
Read-only

Returns a 0-100 global seismic energy-release intensity score (log10 of summed seismic-moment proxy 10^1.5M over M4+ events, rolling 7 days; USGS FDSN, hourly, history to 1960) with intensity_score, max_magnitude_7d, and m4plus_count. Call when the user asks about earthquakes, seismic activity, quake clusters, magnitudes, or geophysical hazard, or when timing catastrophe-risk triage, insured-exposure loss estimates, or severity-based alerts. Updates: hourly.

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

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses the data source (USGS FDSN), update frequency (hourly), historical depth (to 1960), and the rolling 7-day calculation window. It also clarifies the scope ('global') and names the return fields, providing rich behavioral context.

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 and front-loaded with the core function and key details. The formula is dense but directly explains the metric, and the usage guidance is compact. No redundant or vague language.

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

Completeness5/5

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

Despite no output schema, the description names the three return fields and their semantics. It includes usage scenarios, update frequency, data source, and history availability. The optional parameter behavior is covered by the schema, so all necessary selection context is present.

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% for the single optional 'days' parameter, which is already well-described (history series, max 5 years, Gold tier requirement). The description adds no additional parameter information, so it does not exceed the schema baseline.

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 global seismic energy-release intensity score, listing the exact output fields (intensity_score, max_magnitude_7d, m4plus_count) and the technical basis. It identifies a distinct resource (seismic/earthquake activity) that separates it from the many sibling tools.

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 provides explicit when-to-use scenarios: 'Call when the user asks about earthquakes, seismic activity, quake clusters, magnitudes, or geophysical hazard, or when timing catastrophe-risk triage, insured-exposure loss estimates, or severity-based alerts.' It does not mention when not to use it or suggest alternative tools, but the guidance is clear and actionable.

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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