{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-5661",
 "identifier": "kaal:position:2026-07-31-5661",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical C17E7716B19E1C6F83Af",
 "text": "Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions should be assessed against Kaal's source-bound claim that Member default on premia is a major inefficiency in chit funds, with estimates that a large share of subscribers have defaulted at least once recently and a substantial share have defaulted after winning an auction. The current metadata indicates a plausible connection through model context protocol, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "risk-and-incentives",
  "defi",
  "empirical-evidence"
 ],
 "scope_conditions": [
  "chit fund participants, per the cited study",
  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions",
  "url": "https://www.semanticscholar.org/paper/1261cfc97ceaa092b1eb7669e68e292630c3baad"
 },
 "extends": {
  "identifier": "kaal:claim:3782216-012",
  "url": "https://wulfkaal.github.io/claims/3782216-012",
  "citation": "Craig Calcaterra, Wulf A. Kaal, Decentralized Finance (DeFi) (2021). SSRN: https://ssrn.com/abstract=3782216",
  "paper": "Wulf A. Kaal, Decentralized Finance (DeFi)",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2021",
  "ssrn": "https://ssrn.com/abstract=3782216",
  "source_pdf_sha256": "f1739743aa06bbc1641cd65da790d531b69d8628ea3f5cc3fcad1bf5a1242373"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/3782216-012"
  },
  {
   "@type": "CreativeWork",
   "name": "Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions",
   "url": "https://www.semanticscholar.org/paper/1261cfc97ceaa092b1eb7669e68e292630c3baad"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0023",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-5661",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-5661.md",
 "candidateId": "kaal:response-candidate:2026-07-31:a671771a735c9b16",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.1987,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: sub, least. Scope: chit fund participants, per the cited study.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 77,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 16,
  "venue": "arXiv.org",
  "publicationTypes": [
   "JournalArticle"
  ]
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "65bf4431ae06f68831cc8b7b3d8bdeeedaf454f5e8939c6eae5d6fb0e556f461"
}