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Ieee Standards

by io.github.pipeworx-io

Ieee Article

ieee_article
Read-onlyIdempotent

Fetch one IEEE Xplore record by its article_number or DOI: full metadata including title, every author with affiliation, the complete abstract, publication venue, year, volume/issue, page range, publisher, IEEE and author index terms, plus standard_number and standard_status when the record is a standard, and the Xplore html_url / pdf_url. Use it to expand a hit from ieee_search or ieee_standard_search, or when an agent already holds an IEEE DOI or article number. Returns metadata plus the abstract; the full text is sold by IEEE — html_url is where to purchase or access it. Requires your own free IEEE Xplore API key via _apiKey (register an app at developer.ieee.org). Example: ieee_article({ article_number: "8766229", _apiKey: "your-ieee-key" }). Example: ieee_article({ doi: "10.1109/IEEESTD.2020.9363693", _apiKey: "your-ieee-key" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doiNoDOI of the record, e.g. "10.1109/IEEESTD.2020.9363693". Supply this or `article_number`.
_apiKeyYesYour IEEE Xplore Metadata API key, sent as the `apikey` query param. Free — register an app at https://developer.ieee.org.
article_numberNoIEEE Xplore article number — the numeric id in an ieeexplore.ieee.org/document/<n> URL, e.g. "8766229". Supply this or `doi`.

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, etc. Description adds value by disclosing that full text is not free (requires purchase/access via html_url) and that API key is required. No contradiction with annotations.

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?

Single paragraph but well-structured: begins with purpose, lists returned fields, usage guidance, examples. Slightly dense, but no redundancy. Could be improved with bullet points for readability, but not necessary.

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 3 parameters, no output schema, the description thoroughly explains return fields, prerequisites (API key), limitations (full text not free), and integration with sibling tools. No gaps.

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?

Schema coverage is 100% with good parameter descriptions. Description adds value by explaining the two identifier options as mutually exclusive and providing example calls. Could briefly mention that article_number and doi are optional but one must be supplied.

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?

Clear verb 'Fetch' with specific resource 'one IEEE Xplore record' and identifier methods (article_number or DOI). Distinguishes from sibling tools like ieee_search (multiple results) and ieee_standard_search (standards-specific).

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 use: 'expand a hit from ieee_search or ieee_standard_search' or when agent already has DOI/article number. Provides examples. Does not explicitly state when not to use, but positive guidance is strong.

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

A3.8/5.0
Disambiguation2/5

Several tools blur together: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all answer factual questions with overlapping routing behavior, while polymarket_edges, polymarket_arbitrage, and bet_research all surface prediction-market opportunities. Long descriptions help, but the boundaries between these clusters are genuinely unclear, and the three IEEE tools are buried in a sea of unrelated Pipeworx tools.

Naming Consistency4/5

The naming is predominantly snake_case with clear family prefixes like ieee_, ask_pipeworx_, and polymarket_, and most tools follow a readable verb_noun or noun_verb shape. Minor deviations exist (remember/recall/forget, bet_research, pipeworx_trending) but there is no camelCase/mixed-convention problem, so the overall pattern is predictable.

Tool Count1/5

A server named 'Ieee Standards' exposes 34 tools, yet only three of them (ieee_search, ieee_standard_search, ieee_article) actually serve that domain. The remaining 31 tools form a general Pipeworx data, prediction-market, memory, and subscription platform, which is an extreme scope mismatch for the stated server purpose.

Completeness4/5

For the IEEE lookup domain, the three IEEE tools cover the core read-only workflow: broad corpus search, standards-specific search, and full metadata retrieval by article number or DOI. Minor gaps exist (browsing by committee, revision/status history, full-text access) but those are workable or inherently restricted by IEEE's paywall.

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