Skip to main content
Glama

Pubmed Europepmc Search

pubmed_europepmc_search
Read-only

Search Europe PMC for biomedical research, preprints, patents, and Agricola records. Use field queries and source filters to retrieve open-access content beyond PubMed.

Instructions

Search Europe PMC, a broad open-access biomedical corpus. Surfaces preprints (source: PPR), patents (source: PAT), Agricola (source: AGR), plus everything in PubMed (MED) and PMC. Use when additional coverage is needed — preprints and EPMC-only OA records are the typical recovery. Paginate via cursorMark. Defaults to MED, PMC, and PPR; pass sources to include PAT / AGR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesEurope PMC search query. Supports field tokens like `AUTH:"<name>"`, `JOURNAL:"<title>"`, `TITLE:"<words>"`, `PUB_YEAR:[2020 TO 2024]`, `DOI:"..."`, `EXT_ID:"<pmid>" AND SRC:MED`. Free text is matched broadly across abstract/title/keywords.
pageSizeNoResults per page. Max 100 per EPMC API.
cursorMarkNoPagination cursor. Use `*` (default) for the first page; pass the previous response's `nextCursorMark` for subsequent pages.*
sourcesNoFilter to specific EPMC sources. Defaults to MED, PMC, PPR when omitted. Pass an explicit array including PAT or AGR to broaden coverage. Allowed values: MED, PMC, PPR, PAT, AGR.
resultTypeNo`core` returns abstract, IDs, dates, license; `lite` is a smaller payload with IDs and titles only.core
sortNoOptional EPMC sort: `<field> asc|desc`. Documented sortable fields: `P_PDATE_D` (publication date), `CITED` (citation count), `AUTH_FIRST` (first author surname), `PUB_YEAR` (publication year). Examples: `P_PDATE_D desc` (newest first), `CITED desc` (most cited). Omit for relevance ranking. Fields outside the documented set are rejected by EPMC. Note: `P_PDATE_D` is ignored for preprint-only (`sources: ["PPR"]`) result sets — preprints have no populated publication date, so use `PUB_YEAR` to order preprints by date.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hitsYesMatching Europe PMC records, in the order EPMC returned them
cursorMarkYesCursor used for this response (echoed from the request)
nextCursorMarkNoCursor to pass back as `cursorMark` for the next page. Absent on the final page.
searchUrlYesEurope PMC's website search URL for this query
queryYesEffective query string echoed by Europe PMC
totalCountYesTotal matching records across all pages
appliedSourcesYesSources the query was filtered against (defaults applied)
noticeNoOptional guidance when results are empty or paging overshot
Behavior5/5

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

Beyond the annotations (readOnlyHint, openWorldHint), the description discloses significant behavioral traits: coverage scope (preprints, patents, etc.), pagination mechanism (cursorMark), default sources, sorting behavior with a caveat about preprints (P_PDATE_D ignored for PPR-only sets), and result types. This adds substantial value.

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?

The description is a single, well-structured paragraph of about 5 sentences, each carrying meaningful information. It is front-loaded with the purpose, then covers usage, pagination, defaults, and sorting. No waste or redundancy.

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 6 parameters, an output schema (so return values need no explanation), and the complexity of Europe PMC search, the description covers query syntax, pagination, sources, result types, sorting, and special cases. It is fully complete for an AI agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All 6 parameters have schema descriptions (100% coverage), but the tool description adds essential context: query field token examples, default sources and how to override, cursorMark usage for pagination, and detailed sorting caveats. This enriches understanding beyond the schema alone.

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 clearly states the verb 'Search' and the resource 'Europe PMC', a broad open-access biomedical corpus. It distinguishes from sibling tools like pubmed_search_articles by emphasizing broader coverage including preprints, patents, and Agricola, and explicitly says when to use it for additional coverage.

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?

The description provides explicit guidance: 'Use when additional coverage is needed — preprints and EPMC-only OA records are the typical recovery.' It also explains pagination via cursorMark and default sources. However, it does not explicitly mention when not to use this tool or name alternative sibling tools, which would make it a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cyanheads/pubmed-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server