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seedresearch.vercel.app

seedresearch.vercel.app

live Unverified (seed import) Health & Education 12 tools imperative implementation

Follow Thai research from exact-page evidence to metadata-only global connections, a candidate gap, and a testable next study.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 1 · Act 10 · Transact 1 · Score: Not yet scored

Tool inspector

build_research_path

act imperative

Create or adapt a visible Thai-to-global Research Path: map the Thai field, inspect page/full-paper evidence, connect selected metadata-only global leads, then frame a candidate gap and falsifiable Next-Study Protocol. Optional learning gaps personalize the next path.

Page: /

Input schema

PropertyTypeRequiredDescription
goal string yes The learner's research goal in Thai or English.
level string no Current research-learning level.
outcome string no Artifact the learner wants to produce.
collection string no Thai evidence collection; defaults to all.
knowledgeGaps array no Optional evidence-backed gaps from a prior checkpoint.
globalLeadIds array no Optional metadata-only OpenAlex work IDs returned by trace_research_connections to carry as global comparison leads.
passportId string no Optional active Research Passport ID. Supply with source, evidenceIds, and gapLens to preserve the reviewed evidence trail.
source string no Exact Thai paper source carried by the active Research Passport.
evidenceIds array no Exact-page evidence IDs carried by the active Research Passport.
gapLens string no Candidate-gap lens carried by the active Research Passport.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "goal": {
      "type": "string",
      "minLength": 8,
      "maxLength": 280,
      "description": "The learner's research goal in Thai or English."
    },
    "level": {
      "type": "string",
      "enum": [
        "foundation",
        "applied",
        "research"
      ],
      "description": "Current research-learning level."
    },
    "outcome": {
      "type": "string",
      "enum": [
        "literature_review",
        "study_plan",
        "decision_brief"
      ],
      "description": "Artifact the learner wants to produce."
    },
    "collection": {
      "type": "string",
      "enum": [
        "all",
        "ncce",
        "ce_project"
      ],
      "description": "Thai evidence collection; defaults to all."
    },
    "knowledgeGaps": {
      "type": "array",
      "maxItems": 4,
      "items": {
        "type": "string",
        "minLength": 2,
        "maxLength": 180
      },
      "description": "Optional evidence-backed gaps from a prior checkpoint."
    },
    "globalLeadIds": {
      "type": "array",
      "maxItems": 4,
      "uniqueItems": true,
      "items": {
        "type": "string",
        "pattern": "^https://openalex\\.org/W[0-9]+$"
      },
      "description": "Optional metadata-only OpenAlex work IDs returned by trace_research_connections to carry as global comparison leads."
    },
    "passportId": {
      "type": "string",
      "maxLength": 120,
      "description": "Optional active Research Passport ID. Supply with source, evidenceIds, and gapLens to preserve the reviewed evidence trail."
    },
    "source": {
      "type": "string",
      "maxLength": 320,
      "description": "Exact Thai paper source carried by the active Research Passport."
    },
    "evidenceIds": {
      "type": "array",
      "maxItems": 3,
      "uniqueItems": true,
      "items": {
        "type": "string",
        "minLength": 1,
        "maxLength": 120
      },
      "description": "Exact-page evidence IDs carried by the active Research Passport."
    },
    "gapLens": {
      "type": "string",
      "enum": [
        "method",
        "context",
        "population",
        "outcome",
        "validation"
      ],
      "description": "Candidate-gap lens carried by the active Research Passport."
    }
  },
  "required": [
    "goal"
  ],
  "additionalProperties": false
}

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