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Glama

Primary Source Commodities

EIA Inventory

inventory.get
Read-onlyIdempotent

Fetch EIA weekly petroleum inventory levels. Omit series to list all latest inventory points, or pass a series key to get week-over-week change, vs-5y deviation, and a surprise label for that series.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesNoOptional EIA inventory series key. Omit to return all latest inventory rows. Example: crude_stocks.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoAll latest inventory points when series is omitted
vs_5yNoDeviation vs five-year average when series is provided
latestNoLatest point when a series key is provided
wow_changeNoWeek-over-week change when series is provided
surprise_labelNoSurprise classification when series is provided

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare read-only and idempotent. Description adds that passing a series yields computed fields (change, deviation, surprise), which is beyond annotations. No contradiction.

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?

Two sentences, front-loaded with core function, no filler. Every sentence adds value.

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?

Covers both usage modes adequately. Has output schema, so return values are handled. Lacks mention of errors or data freshness, but still complete for a simple tool.

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

Parameters4/5

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

Single parameter 'series' has schema description. Description adds meaning by explaining behavior when omitted vs provided, and gives an example value, improving beyond schema alone.

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?

Description clearly states it fetches EIA weekly petroleum inventory levels and distinguishes two modes: omit series for all latest points, pass series for week-over-week change, vs-5y deviation, and surprise label. Specific verb and resource, distinguishable from siblings.

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?

Provides clear guidance on when to omit vs pass the series parameter. No explicit when-not-to-use or alternatives, but context is sufficient for an agent.

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

A4.2/5.0
Disambiguation5/5

Each tool has a distinct purpose: calendar.get for release dates, catalog.list for instrument discovery, price.latest and price.history for prices, inventory.get for inventory, positioning.get for CFTC data, fundamentals.get for reports, fx.latest for FX rates, snapshot.get for sector overview, spread.get for derived spreads, and decision.get for deterministic decisions. No overlapping functionality.

Naming Consistency5/5

All tools follow a consistent noun.verb pattern (e.g., calendar.get, catalog.list, price.latest, snapshot.get). The naming is predictable and makes the tool's purpose clear at a glance.

Tool Count5/5

With 11 tools, the server is well-scoped for a commodity data platform. Each tool covers a distinct aspect (calendar, catalog, prices, inventory, positioning, fundamentals, FX, snapshots, spreads, decisions) without unnecessary bloat.

Completeness4/5

The tool set covers core commodity data needs: price discovery (catalog, latest, history), fundamentals (WASDE, etc.), inventory (EIA), positioning (CFTC), spreads, FX conversion, and summaries. Minor gaps include limited price history (500 points) and no explicit support for options or shipping data, but the overall surface is strong.

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