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원문 전문 검색

search_fulltext

Search the full text of 1053 Korean environmental education PDFs to find specific activity methods, experiment procedures, concept explanations, and case examples. Retrieves relevant text chunks from document content.

Instructions

전국 시도교육청 환경교육 자료 PDF 1053건의 원문 텍스트(약 2.2만 청크)에서 본문 내용을 검색합니다. 메타데이터 검색(search_resources)으로 찾기 어려운 구체적 활동 방법, 실험 절차, 개념 설명, 사례를 찾을 때 사용하세요. 발췌가 잘려 있으면 get_document_text로 해당 문서의 전체 맥락을 이어 읽으세요. 첫 호출은 색인 구축으로 1~2초 걸립니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo최대 결과 수 (기본 8, 최대 20)
queryYes본문 검색 키워드 (예: "탄소발자국 계산 활동")
regionNo지역/교육청 필터 (예: "경기", "전국")
subjectNo과목 필터
school_levelNo학교급 필터
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses that the tool searches over 1053 PDFs (~22k chunks) and that the first call takes 1-2 seconds. However, it does not describe result ranking, pagination, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise sentences: purpose/scope, usage guidance, and fallback/performance note. No redundant information; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with 5 parameters, no output schema, and no annotations, the description covers purpose, usage, a behavioral note, and sibling connection. Lacks output format or pagination details, but adequate for the task.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds context that the query is for full-text content and mentions excerpt truncation, but does not elaborate on each parameter beyond schema. Acceptable but not exceptional.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches full text of 1053 PDFs (environmental education materials) with specific examples of use cases. It distinguishes itself from the sibling tool search_resources (metadata search) and get_document_text (full context reading).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use guidance: for finding specific activity methods, experimental procedures, concept explanations, and cases that metadata search cannot find. Also advises using get_document_text for truncated excerpts. Notes first call is slow due to index building.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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