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Eia

by io.github.pipeworx-io

Eia Ethanol

eia_ethanol
Read-onlyIdempotent

Get fuel ethanol production volumes, stocks, and imports. Returns time series for ethanol supply chain metrics.Key energy-agriculture intersection: most US ethanol is made from corn. Uses EIA petroleum supply data filtered for ethanol (EPOOXE product code).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoEnd date (optional)
startNoStart date (optional)
seriesYesEthanol data type: "production", "stocks", "imports"
_apiKeyYesEIA API key
frequencyNoFrequency: "weekly", "monthly" (optional, defaults to weekly)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesTime series data points (max 100 returned)
countYesNumber of records returned
totalYesTotal number of records available
seriesYesEthanol series type with 'ethanol_' prefix
truncatedYesTrue if more than 100 records available
descriptionYesSeries description from EIA API

Schema Changelog

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

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "count": {
+      "description": "Number of records returned",
+      "type": "number"
+    },
+    "data": {
+      "description": "Time series data points (max 100 returned)",
+      "items": {
+        "properties": {
+          "area": {
+            "description": "Geographic area name",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "description": {
+            "description": "Series description",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "period": {
+            "description": "Time period (e.g., date or year)",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "process": {
+            "description": "Process or measurement type",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "product": {
+            "description": "Product type",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "units": {
+            "description": "Unit of measurement",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "value": {
+            "description": "Numeric value for the period",
+            "type": [
+              "number",
+              "null"
+            ]
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "description": {
+      "description": "Series description from EIA API",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "series": {
+      "description": "Ethanol series type with 'ethanol_' prefix",
+      "type": "string"
+    },
+    "total": {
+      "description": "Total number of records available",
+      "type": "number"
+    },
+    "truncated": {
+      "description": "True if more than 100 records available",
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "series",
+    "total",
+    "description",
+    "count",
+    "data",
+    "truncated"
+  ],
+  "type": "object"
+}
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "_apiKey": "your-eia-api-key",
+    "series": "production"
+  },
+  {
+    "_apiKey": "your-eia-api-key",
+    "frequency": "weekly",
+    "series": "stocks",
+    "start": "2024-01-01"
+  }
+]
  3. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive behavior. The description adds that it uses EIA petroleum supply data filtered by product code EPOOXE, which provides useful sourcing context beyond 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?

Two sentences plus a brief note efficiently convey the tool's purpose and key context without verbose or redundant information. 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?

Given the output schema exists and annotations are rich, the description is sufficient: it covers purpose, data source, and product code. It could mention default frequency or date handling, but completeness is adequate for the complexity.

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?

With 100% schema coverage, the description adds value by mentioning the product code EPOOXE and the data source, complementing the schema's parameter descriptions. It helps the agent understand the context of the series values.

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 retrieves fuel ethanol production, stocks, and imports time series, distinguishing it from sibling tools like eia_electricity, eia_natural_gas, and eia_petroleum by focusing on a specific commodity within petroleum data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides context (energy-agriculture intersection, corn-based ethanol, EIA petroleum data) but does not explicitly state when to use this tool versus alternatives like eia_petroleum or eia_series for broader queries.

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

A3.6/5.0
Disambiguation2/5

Several tools occupy nearly identical roles: ask_pipeworx and ask_pipeworx_beta are described as currently identical, ask_pipeworx_grounded and deep_research overlap with the router, and eia_series overlaps with the specialized eia_electricity/eia_ethanol/eia_natural_gas/eia_petroleum tools. The Polymarket opportunity scanners and the two AI-visibility checkers also blur together, making confident tool selection difficult despite detailed descriptions.

Naming Consistency3/5

Most tools follow a snake_case verb-first pattern (remember, recall, forget, resolve_entity, validate_claim), but there are notable deviations: eia_electricity and eia_ethanol are noun-first category names, recent_alerts and recent_changes are adjective-noun, and pipeworx_trending and polymarket_edges are not verb-driven. The eia_ and polymarket_ prefixes add some predictability, so the naming is readable but inconsistent.

Tool Count2/5

At 36 tools, this is well past the heavy threshold and feels like a kitchen-sink aggregation of several separate products rather than one focused server. Many tools could be consolidated: the five eia_* lookups, the multiple ask_pipeworx variants, and the several Polymarket scanners all serve close purposes. A 36-tool surface is too much for an agent to navigate efficiently.

Completeness4/5

Within the major subdomains the set is quite complete: entity research has profile/compare/changes/resolve, memory has remember/recall/forget, subscriptions have subscribe/list/unsubscribe/recent_alerts, and Polymarket analysis has edge discovery, fill-risk, venue-spread, and persistence tracking. Minor gaps exist—no subscription update flow, no dedicated EIA coal/nuclear/renewables series beyond the generic eia_series fallback—but agents can work around them.

Resources