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AlpineDataWorks Intelligence Server

Humanitarian Crisis Index

adw.adw_569
Read-only

Returns a 0-100 global humanitarian-crisis load index (severity-weighted count of active UN OCHA ReliefWeb emergencies: complex emergencies x3, epidemics x2.5, droughts x2) with crisis_level, trend, ongoing_count, new_30d, by_type mix, countries_affected, and a recent-crises list. Call when the user asks about active humanitarian emergencies, global crisis load, or disaster-response demand, or when timing NGO surge staffing, sovereign-risk reviews, or supply-chain exposure checks. Updates: daily.

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

A4.3/5.0
Behavior4/5

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

The description discloses the scoring methodology (complex emergencies x3, epidemics x2.5, droughts x2), the returned fields, and the update frequency ('Updates: daily'). This goes beyond the readOnlyHint annotation by providing substantive behavioral detail, without contradicting any annotations.

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 compact: two sentences deliver the core function, output fields, use cases, and update cadence with no extraneous content. It is front-loaded with the most important information about what the tool returns.

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?

With no output schema, the description fully enumerates the return fields (crisis_level, trend, ongoing_count, new_30d, by_type mix, countries_affected, recent-crises list) and explains the index formula. Combined with clear use cases and update frequency, the tool is sufficiently understood for correct selection and invocation.

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 described in the input schema, including its optional nature and the Gold tier requirement. The main description adds no parameter-specific semantics, so the schema's complete coverage justifies the baseline score of 3.

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 it 'Returns a 0-100 global humanitarian-crisis load index' with a precise severity-weighting formula and lists the output fields. This makes the tool's unique function unmistakable and distinguishes it from 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?

It gives explicit usage context: 'Call when the user asks about active humanitarian emergencies, global crisis load, or disaster-response demand, or when timing NGO surge staffing, sovereign-risk reviews, or supply-chain exposure checks.' It lacks explicit when-not-to-use guidance or alternatives, but the call scenarios are 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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