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CrossRef Recent Data Citation Events

crossref-datacitations.citations.browse
Read-onlyIdempotent

Browse article-to-dataset citation events by creation-date range and/or publisher member ID, without needing a known DOI. Useful for monitoring newly-deposited data citations from a specific publisher or time window. Data: api.crossref.org/beta/datacitations (CrossRef Data Citations API), no auth required, CC0 metadata, ~5-day delay between deposit and API appearance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsNoNumber of citation events to return (1-500, default 20)
from_dateNoOnly citation events created on/after this date, YYYY-MM-DD or YYYY-MM-DDTHH:MM:SS (e.g. "2026-01-20")
member_idNoFilter to citing works from a specific CrossRef member/publisher ID (e.g. "78")
until_dateNoOnly citation events created on/before this date, YYYY-MM-DD or YYYY-MM-DDTHH:MM:SS (e.g. "2026-01-21")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  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 readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false. The description adds valuable context beyond annotations: no auth required, CC0 metadata, and the ~5-day delay between deposit and API appearance. This delay is a behavioral trait that helps set expectations. It doesn't contradict 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?

Three sentences, each earning its place: what it does, when to use it, and key data-source facts. Front-loaded with the core action and filters, followed by use case and caveats. No redundancy.

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?

For a read-only browse tool with an output schema, the description covers the essential context: purpose, filters, use case, data source, auth, and delay. It doesn't describe pagination or the exact response shape, but the output schema exists and annotations cover safety. Minor gap: no mention of how results are ordered, but this is not critical for a browse tool.

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%, so the schema already documents all four parameters. The description adds context about the date-range and member_id filters but doesn't add syntax details beyond the schema. Baseline 3 is appropriate since the schema carries the parameter documentation burden.

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 states a specific verb ('Browse'), a specific resource ('article-to-dataset citation events'), and the key filtering dimensions (creation-date range, publisher member ID). It also explicitly contrasts with needing a known DOI, which distinguishes it from sibling tools like crossref-datacitations.citations.from_article and to_dataset.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool: 'Useful for monitoring newly-deposited data citations from a specific publisher or time window.' It also implies the alternative (needing a known DOI) and names the data source. This gives clear context for selection among the crossref-datacitations siblings.

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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