seedresearch.vercel.app
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
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
| Property | Type | Required | Description |
|---|---|---|---|
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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