education.papers.search
Search 250M+ academic papers across all disciplines — citations, authors, institutions, open access status (OpenAlex)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/education.papers.search.md
What education.papers.search does on Apibase
AI agents call education.papers.search 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
sort | string | — | Sort order for results. Default: "relevance". |
limit | integer | — | Number of results to return (1-50). Default: 10. |
query | string | Yes | Search text for academic papers (e.g. "machine learning", "CRISPR gene editing"). |
author | string | — | Author name or ORCID to filter by (e.g. "Yoshua Bengio", "0000-0001-2345-6789"). |
concept | string | — | OpenAlex concept ID filter (e.g. "C41008148" for Computer Science). Get IDs from OpenAlex concepts API. |
year_to | integer | — | Filter papers published up to this year (inclusive). |
year_from | integer | — | Filter papers published from this year (inclusive). |
institution | string | — | Institution name or ROR ID to filter by (e.g. "MIT", "Stanford University"). |
open_access_only | boolean | — | If true, only return open access papers. |
Parameters from the server's own tool schema.
Why education.papers.search is rated Low
Tool queries academic paper metadata without modifying, creating, or deleting data.
From the tool's definition Search 250M+ academic papers across all disciplines — citations, authors, institutions
Attacks that exploit this kind of access
The rule that runs education.papers.search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For education.papers.search, this is the rule to start with:
education.papers.search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every education.papers.search call is checked against it from then on.
Questions about education.papers.search
Search 250M+ academic papers across all disciplines — citations, authors, institutions, open access status (OpenAlex). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
education.papers.search accepts 9 parameters: sort, limit, query, author, concept, year_to, year_from, institution, open_access_only. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for education.papers.search: 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.
education.papers.search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the education.papers.search 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.
Set action: deny in the PolicyLayer policy for education.papers.search. 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.
education.papers.search 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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