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Search Zenodo Research Records

zenodo.records.search
Read-onlyIdempotent

Search 3.5M+ open-access research outputs on Zenodo — publications, datasets, software, presentations, posters, videos, and more. Filter by type, access right (open/embargoed/restricted), and publication date range. Sort by relevance, recency, most-viewed, or most-downloaded. Each result includes DOI, title, creators, resource type, access right, keywords, view/download stats, and a direct URL. Zenodo is operated by CERN under the OpenAIRE program and hosts research from EU-funded projects, science institutions worldwide, and individual researchers. All metadata is CC0.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (default 1). Combine with limit for paging.
sortNoSort order: "bestmatch" (relevance), "mostrecent" (newest first), "mostviewed", or "mostdownloaded". Default: bestmatch.
typeNoFilter by record type: "publication" (papers/preprints), "dataset", "software", "presentation", "poster", "image", "video", "lesson", "physicalobject", or "other".
limitNoNumber of results to return per page (default 10, max 50).
queryNoFree-text search query across title, description, creators, and keywords (e.g. "CRISPR gene editing", "climate change datasets", "machine learning").
date_toNoFilter records published on or before this date in ISO 8601 format (e.g. "2024-12-31").
date_fromNoFilter records published on or after this date in ISO 8601 format (e.g. "2023-01-01").
access_rightNoFilter by access right: "open" (freely downloadable), "embargoed", "restricted", or "closed".

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

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the description only needs to add context. It discloses the structure of results (DOI, title, creators, etc.) and mentions CC0 licensing, which is useful. However, it does not discuss pagination or rate limits, though those are covered by the schema and 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?

The description is efficiently front-loaded with the core purpose, then details filters, sorting, and result fields. The closing background on CERN/OpenAIRE is slightly extraneous but not excessive; it remains focused and reasonably concise.

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 rich schema (all parameters described) and safety annotations, the description provides sufficient context for an agent to select and invoke the tool correctly. It covers what is searched, how to filter/sort, and what results contain. It could mention related Zenodo tools for navigation, but this is not critical for its standalone use.

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 baseline is 3. The description provides a high-level summary of filterable fields and sort orders but adds little beyond what the schema already documents. It does not introduce new parameter details or examples beyond those present in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function—searching Zenodo's 3.5M+ research outputs—and lists content types, filters, and sort options. It distinguishes itself from sibling tools like zenodo.records.detail and zenodo.records.files by focusing on search, though it does not name them explicitly.

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 implies use for searching Zenodo's repository but does not explicitly state when to prefer this tool over alternatives like openaire.products.search or other record detail tools. There are no exclusions or alternative recommendations, leaving the agent to infer usage from the purpose alone.

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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