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crossref-datacitations.citations.to_dataset

Find scholarly works (journal articles, preprints) that cite a given dataset DOI. Returns each citing work's DOI, work type, publisher member ID, and the citation timestamp. Useful for measuring dataset reuse/impact or tracing which papers relied on a specific dataset. Data: api.crossref.org/beta...

SERVERApibase SOURCEapibase-mcp-client
Low RISK CLASS
Category Read
Parameters 21 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/crossref-datacitations.citations.to-dataset.md

What crossref-datacitations.citations.to_dataset does on Apibase

AI agents call crossref-datacitations.citations.to_dataset to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
rows integer — Number of citation events to return (1-500, default 20)
dataset_doi string Yes DOI of the dataset to find citing works for (e.g. "10.1037/t00742-000")

Parameters from the server's own tool schema.

Why crossref-datacitations.citations.to_dataset is rated Low

Retrieves scholarly citation metadata with no side effects, authentication, or data modification capabilities.

From the tool's definition Find scholarly works that cite a dataset. Returns DOI, work type, publisher member ID, timestamp.

Questions about crossref-datacitations.citations.to_dataset

What does the crossref-datacitations.citations.to_dataset tool do? +

Find scholarly works (journal articles, preprints) that cite a given dataset DOI. Returns each citing work's DOI, work type, publisher member ID, and the citation timestamp. Useful for measuring dataset reuse/impact or tracing which papers relied on a specific dataset. Data: api.crossref.org/beta/datacitations (CrossRef Data Citations API), no auth required, CC0 metadata, ~5-day delay between deposit and API appearance. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does crossref-datacitations.citations.to_dataset accept? +

crossref-datacitations.citations.to_dataset accepts 2 parameters: rows, dataset_doi. Required: dataset_doi. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on crossref-datacitations.citations.to_dataset? +

Register the Apibase MCP server in PolicyLayer and add a rule for crossref-datacitations.citations.to_dataset: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.

What risk level is crossref-datacitations.citations.to_dataset? +

crossref-datacitations.citations.to_dataset is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit crossref-datacitations.citations.to_dataset? +

Yes. Add a rate_limit block to the crossref-datacitations.citations.to_dataset rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block crossref-datacitations.citations.to_dataset completely? +

Set action: deny in the PolicyLayer policy for crossref-datacitations.citations.to_dataset. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides crossref-datacitations.citations.to_dataset? +

crossref-datacitations.citations.to_dataset is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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