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WritersLogic verifiable AI agents

future-work-miner

Open Research Opportunity Miner — Leads with a verdict (OPEN_GAPS_FOUND, NO_CLEAR_OPEN_GAPS or NO_GAPS_EXTRACTED), a confidence, a headline naming the top gap with its quoted evidence, and the next step. Collects papers for a topic or seed list (arXiv ids or URLs, DOIs, PMIDs; arXiv and OpenAlex search), reads full text from ar5iv or Europe PMC, and extracts future-work, limitation and open-question sentences in code with exact se

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "future-work-miner"
  }
}

Input Schema

NameRequiredDescriptionDefault
modeNofast: zero model calls (lexical clustering and lexical addressed-check). full (default): one clustering call and one judging call, bounded to one status level.
fieldNoField or discipline keyword added to the topic search, e.g. "machine learning".
queryNoResearch topic, e.g. "parameter-efficient fine-tuning of language models".
seedsNoSeed papers you already have: arXiv ids or URLs (2106.09685, arXiv:1706.03762, arxiv.org/abs/...), DOIs or doi.org URLs, or PMIDs (PMID:12345678 or a PubMed URL). Always analysed, not date-filtered.
toDateNoOnly topic-search papers published on or before this date (YYYY-MM-DD).
fromDateNoOnly topic-search papers published on or after this date (YYYY-MM-DD).
maxPapersNoPapers to analyse, at most 25 (default 10); seeds count toward it.

Schema Changelog

Changes observed during successful MCP inspections.

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