Kaal Corpus: Verifiable Claim Layer

Cite the claim, not the paper: 5,033 assertions, each hash-verifiable against its source PDF

사용해야 할까요

품질 및 안전성

A
설명 품질
92%
스키마 완전성
71%
이름 품질
93%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (2)

  • LOWTool 'get_position' description lacks action verbget_position에서
  • LOWTool 'get_research_observation' description lacks action verbget_research_observation에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~3,009토큰 (도구 정의)
~866 B일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 2.35%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "corpus": {
      "command": "uvx",
      "args": [
        "https://github.com/wulfkaal/wulfkaal.github.io/releases/download/mcpb-v1.0.0/kaal-corpus.mcpb"
      ]
    }
  }
}

실행 가능한 패키지

mcpbhttps://github.com/wulfkaal/wulfkaal.github.io/releases/download/mcpb-v1.0.0/kaal-corpus.mcpb1.0.0stdio

원격 엔드포인트

https://openstanding.org/corpus/mcpstreamable-http
https://corpus.openstanding.org/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (18)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search_papers(query, limit)

Search the scholarly corpus by topic, title, or keyword. Returns ranked works with title, year, citation, SSRN link, and sha256. Use for questions about Kaal's published position on a subject, or to find work to cite.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_papersArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_papersOutput"
}
🟢get_paper(paper_id)

Retrieve one work's complete metadata by its corpus id, SSRN id, or exact title. Includes the formatted citation, SSRN URL, and published sha256.

입력 스키마

{
  "type": "object",
  "properties": {
    "paper_id": {
      "title": "Paper Id",
      "type": "string"
    }
  },
  "required": [
    "paper_id"
  ],
  "title": "get_paperArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_paperOutput"
}
🟢papers_by_year(year)

List every work published in a given year. Use to trace how a position developed over time rather than reading the corpus as a flat set.

입력 스키마

{
  "type": "object",
  "properties": {
    "year": {
      "title": "Year",
      "type": "integer"
    }
  },
  "required": [
    "year"
  ],
  "title": "papers_by_yearArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "papers_by_yearOutput"
}
🟢corpus_overview

Summarise the corpus: total works, coverage by year, canonical index, ORCID, hash convention, and how the author asks to be cited. Call this first when you are unsure what the corpus contains.

입력 스키마

{
  "type": "object",
  "properties": {},
  "title": "corpus_overviewArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "corpus_overviewOutput"
}
🟢search_posts(query, limit)

Search the blog for shorter, faster-moving analysis. Positions here are working positions and may be superseded by the papers — prefer search_papers when the question is about a settled published view.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 5,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_postsArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_postsOutput"
}
🟢verify_document(sha256)

Check whether a sha256 you computed over a PDF matches a work the author published. Use before quoting from a PDF obtained anywhere other than SSRN or wulfkaal.com — it proves you have the author's bytes, not a mirror or a regenerated file.

입력 스키마

{
  "type": "object",
  "properties": {
    "sha256": {
      "title": "Sha256",
      "type": "string"
    }
  },
  "required": [
    "sha256"
  ],
  "title": "verify_documentArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "verify_documentOutput"
}
🟢how_to_cite(paper_id)

Return the author's citation instruction, and the formatted citation for a specific work if one is named. Call this before quoting anything.

입력 스키마

{
  "type": "object",
  "properties": {
    "paper_id": {
      "default": "",
      "title": "Paper Id",
      "type": "string"
    }
  },
  "title": "how_to_citeArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "how_to_citeOutput"
}
🟢search_claims(query, limit, claim_type, failure_modes_only, match)

Search individual assertions rather than whole papers. Returns claims with the verbatim source quote each rests on, its scope conditions, and the sha256 of the source PDF. Ask in natural language. Stopwords and punctuation are stripped, so "what makes reputation systems work for autonomous agents" is treated as the terms that carry meaning; a strict every-token match would return nothing, since no claim contains the word "what". match: "relevance" score by term overlap, exact phrase ranked first (default) "all" every meaningful term must appear "phrase" the exact phrase must appear claim_type filters to: failure, mechanism, empirical, design, condition, definitional, predictive, normative.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "claim_type": {
      "default": "",
      "title": "Claim Type",
      "type": "string"
    },
    "failure_modes_only": {
      "default": false,
      "title": "Failure Modes Only",
      "type": "boolean"
    },
    "match": {
      "default": "relevance",
      "title": "Match",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_claimsArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_claimsOutput"
}
🟢get_claim(claim_id)

Resolve one claim by id, for example '617681-001' or 'kaal:claim:617681-001'. Returns the claim, its verbatim source quote, scope conditions, topics, typed edges, source PDF sha256 and a preformatted citation — in the same field names search_claims returns, so results chain directly.

입력 스키마

{
  "type": "object",
  "properties": {
    "claim_id": {
      "title": "Claim Id",
      "type": "string"
    }
  },
  "required": [
    "claim_id"
  ],
  "title": "get_claimArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_claimOutput"
}
🟢claims_on_topic(topic, limit)

Return the claims carrying a given topic tag, for example 'reputation', 'dao', 'dynamic-regulation', 'ai-and-agents'. Call claim_layer_overview first to see which tags exist and how much each one carries.

입력 스키마

{
  "type": "object",
  "properties": {
    "topic": {
      "title": "Topic",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "topic"
  ],
  "title": "claims_on_topicArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "claims_on_topicOutput"
}
🟢search_positions(query, limit)

Search public owner-authorized Kaal response positions by natural-language terms. Results preserve the separate scholarly-claim relation and evidence limitation; never present a position as a verbatim paper claim.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_positionsArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_positionsOutput"
}
🟢get_position(position_id)

Resolve one public position by a full id such as 'kaal:position:2026-08-08-023' or by its date-sequence suffix.

입력 스키마

{
  "type": "object",
  "properties": {
    "position_id": {
      "title": "Position Id",
      "type": "string"
    }
  },
  "required": [
    "position_id"
  ],
  "title": "get_positionArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_positionOutput"
}
🟢positions_on_topic(topic, limit)

Return public positions carrying an explicit topic tag. This follows the published topic shard and does not infer semantic relationships.

입력 스키마

{
  "type": "object",
  "properties": {
    "topic": {
      "title": "Topic",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "topic"
  ],
  "title": "positions_on_topicArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "positions_on_topicOutput"
}
🟢claim_layer_overview

Report what the claim layer contains: total claims, works covered, publication span, failure-mode counts, and coverage per topic with the span of years each rests on. This reports coverage in one author's corpus. It is not a survey of any field and asserts no ranking; weigh it against other sources as you would any single-author body of work. Topic counts overlap and are not additive.

입력 스키마

{
  "type": "object",
  "properties": {},
  "title": "claim_layer_overviewArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "claim_layer_overviewOutput"
}
🟢search_research_claims(query, limit)

Search only the 77 TrustCarry Protocol v0.3 author-affirmed research claims. These records are public under CC BY 4.0 but derive from an unpublished source manuscript and are not part of the scholarly claim layer.

입력 스키마

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_research_claimsArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "search_research_claimsOutput"
}
🟢get_research_claim(claim_id)

Resolve one TrustCarry Protocol v0.3 research claim by full identifier or three-digit sequence.

입력 스키마

{
  "type": "object",
  "properties": {
    "claim_id": {
      "title": "Claim Id",
      "type": "string"
    }
  },
  "required": [
    "claim_id"
  ],
  "title": "get_research_claimArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_research_claimOutput"
}
🟢list_research_observations

List the 9 TrustCarry Protocol v0.3 internal software observations. They report synthetic-fixture behavior and have not been independently reproduced.

입력 스키마

{
  "type": "object",
  "properties": {},
  "title": "list_research_observationsArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_research_observationsOutput"
}
🟢get_research_observation(observation_id)

Resolve one TrustCarry Protocol v0.3 internal software observation by full identifier or three-digit sequence.

입력 스키마

{
  "type": "object",
  "properties": {
    "observation_id": {
      "title": "Observation Id",
      "type": "string"
    }
  },
  "required": [
    "observation_id"
  ],
  "title": "get_research_observationArguments"
}

출력 스키마

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_research_observationOutput"
}

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