research_paper_qa

Synthèse littérature scientifique (PaperQA2) — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: Conduct a literature review on <topic> — what does the evidence show across recent papers? · Evaluate the current hypothesis that <claim> — supporting a...

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Low RISK CLASS
Category Read
Parameters 75 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/research-paper-qa.md

What research_paper_qa does on Mcp Knowledge

AI agents call research_paper_qa to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
async boolean If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
max_papers integer Yes
year_range object
focus_domain string Yes
include_preprints boolean Yes
research_question string Yes
evidence_grade_required string Yes

Parameters from the server's own tool schema.

Why research_paper_qa is rated Low

This tool retrieves and synthesizes scientific literature. All described actions (literature review, hypothesis evaluation, contradiction mapping, state-of-the-art assessment) are read/query operations on existing published research. No data is created, modified, deleted, or executed.

From the tool's definition Synthèse littérature scientifique (PaperQA2) — literature review, evaluate hypothesis, map contradictions, state-of-the-art understanding, interdisciplinary synthesis

Questions about research_paper_qa

What does the research_paper_qa tool do? +

Synthèse littérature scientifique (PaperQA2) — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: Conduct a literature review on <topic> — what does the evidence show across recent papers? · Evaluate the current hypothesis that <claim> — supporting and contradicting evidence with citations. · Map contradictions in the literature on <topic> — which camps exist, how many papers per side? · What is the state-of-the-art understanding of <phenomenon> as of <year>? · Perform an interdisciplinary synthesis on <topic> — findings from <domain A> and <domain B>. Reference case: Gut-brain axis · Cognitive performance in healthy adults · OpenAlex+SemanticScholar+CORE · Evidence synthesis · DOI-verified citations · Contradictions + gaps mapped. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does research_paper_qa accept? +

research_paper_qa accepts 7 parameters: async, max_papers, year_range, focus_domain, include_preprints, research_question, evidence_grade_required. Required: max_papers, focus_domain, include_preprints, research_question, evidence_grade_required. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on research_paper_qa? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for research_paper_qa: 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 Mcp Knowledge. Nothing to install.

What risk level is research_paper_qa? +

research_paper_qa is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit research_paper_qa? +

Yes. Add a rate_limit block to the research_paper_qa 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 research_paper_qa completely? +

Set action: deny in the PolicyLayer policy for research_paper_qa. 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 research_paper_qa? +

research_paper_qa is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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