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AlpineDataWorks Intelligence Server

Regulatory-Financial Impact Score

adw.adw_409
Read-only

Returns a 0-100 regulatory-burden score for the U.S. financial sector (type-weighted Federal Register rulemaking volume, trailing 90 days, history to 1995) with weighted_current, weighted_prior, and current_90d_rules/proposed_rules/notices counts plus prior_90d_* baselines. Call when the user asks about regulatory burden, rulemaking pace, or financial-sector compliance load, or when timing compliance staffing, budgets, or policy-risk decisions. 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

A4.2/5.0
Behavior4/5

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

Annotations provide readOnlyHint=true, which the description does not contradict. The description adds useful behavioral context beyond annotations, such as 'Updates: daily' and that history requires Gold tier without which the current snapshot is returned. This discloses important behavior without needing to repeat the read-only nature.

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 two long sentences but both carry essential information: the output and methodology in the first, and usage timing plus update cadence in the second. It is not overly verbose, though it is dense with field names and details; still, every sentence earns its place.

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?

Given that there is no output schema, the description goes beyond by listing the returned fields, explaining the basis of the score, and covering the optional history behavior, tier requirements, update frequency, and ideal use cases. This is complete for a low-complexity read-only tool with one optional parameter.

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 schema description for the 'days' parameter is 100% covered and describes the optional history series, the 5-year limit, and the Gold tier requirement. The tool description itself does not add extra parameter semantics beyond what the schema already provides, so the baseline of 3 applies.

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 regulatory-burden score for the U.S. financial sector, based on Federal Register rulemaking volume, and lists specific output fields (weighted_current, weighted_prior, current_90d_rules, etc.). This is a specific verb+resource+detail, and the methodology and history to 1995 distinguish it from any generic score tool.

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 states when to call: 'when the user asks about regulatory burden, rulemaking pace, or financial-sector compliance load, or when timing compliance staffing, budgets, or policy-risk decisions.' This provides clear context, but it does not mention alternatives or when not to use the tool, 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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