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Gov Energy Gov

gov_energy_gov
Read-only

US Department of Energy public dataset catalogue (energy.gov Public Data Listing, DCAT data.json): dataset title, publisher, last modified date, access level, landing page and number of downloadable distributions, filtered by a word in the title or description. Catalogue metadata only. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
qYesWord or phrase in the dataset title or description, 3 to 60 characters
limitNoDatasets to return, 1 to 10 (default 5)

Output Schema

NameRequiredDescriptionDefault
queryNo
sourceNo
datasetsNo
checkedAtNo
totalMatchesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, and the description adds genuinely non-derived context: metadata-only scope, paid x402 pricing at $0.002 USDC per successful call, payment chains, and that failed calls are not charged. That billing behavior is not visible in any structured field and is important for an agent deciding whether to call.

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?

Purpose and scope are front-loaded in the first sentence, with scope limitation and pricing as short trailing sentences. It is dense but nearly every clause carries information; the enumeration of returned fields is the only slightly bulky part.

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?

With annotations covering safety and an output schema covering return shape, the description supplies what's missing: source, fields, filter semantics, metadata-only scope, and pricing. Minor gap is no mention of behavior on zero matches or result ordering, but nothing critical to correct invocation is absent.

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 description coverage is 100% (q documented as 3–60 chars, limit as 1–10 default 5), so the schema carries the parameter burden. The description only restates the q filter semantics ('a word in the title or description') and says nothing about limit or result-set behavior, which is the baseline for fully covered schemas.

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?

Names the exact resource and provenance (energy.gov Public Data Listing, DCAT data.json), lists the fields returned (title, publisher, last modified, access level, landing page, distribution count), and states the query semantics. An agent can distinguish this catalogue-metadata tool from generic open-data portals like gov_data_gov.

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 phrase 'filtered by a word in the title or description' plus 'Catalogue metadata only' implies when to reach for it and that it won't return the actual datasets. However, it never names an alternative tool or states an explicit when-not condition, so routing versus sibling open-data tools is left to inference.

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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