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원문 문서 읽기

get_document_text

Reads document metadata and body text in sequential chunks using a document ID from full-text search results. Specify starting chunk and count to retrieve text.

Instructions

원문 문서의 메타데이터와 본문 텍스트를 연속 청크 단위로 읽습니다. search_fulltext가 반환한 documentId로 호출하세요. count 기본 5청크(약 3~4천 자), 최대 10청크씩 from_chunk를 늘려가며 이어 읽을 수 있습니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo읽을 청크 수 (기본 5, 최대 10)
from_chunkNo시작 청크 번호 (기본 0)
document_idYes문서 id (search_fulltext 결과의 documentId)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the chunked reading behavior, default and maximum chunk count, and pagination method. However, it does not describe the output format, error handling, or authentication requirements.

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?

Two sentences, no fluff. The first sentence states the purpose, the second gives usage instructions. Efficient and front-loaded.

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

Completeness3/5

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

No output schema exists, so the description should cover return values. It mentions 'metadata and body text' but lacks detail on structure or formatting. Pagination is well explained, but completeness is partial.

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 coverage is 100% with descriptions for all parameters. The description adds the context that document_id comes from search_fulltext and confirms default/max values for count, but this largely repeats schema information. Baseline 3 is appropriate.

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 it reads the metadata and body text of the original document in continuous chunks, which is a specific verb and resource. It distinguishes itself from sibling tools like search_fulltext by specifying it uses the documentId returned by that tool.

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

Usage Guidelines4/5

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

The description explicitly says to call with documentId from search_fulltext and explains how to paginate via from_chunk. It provides clear context but does not explicitly mention when not to use this tool or list alternatives.

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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