Skip to main content
Glama

check_summary_grounding

Read-onlyIdempotent

Verifies each sentence in a summary draft against the source document by validating citation anchors, numbers, dates, and direct quotes, flagging ungrounded claims before human approval.

Instructions

초안의 각 문장이 원문 앵커에 근거하는지 대조합니다.

확인하는 것: 앵커를 인용했는가(GR-01) · 그 앵커가 있는가(GR-02) · 수치·날짜가 원문에 있는가(GR-03) · 직접 인용이 원문과 같은가(GR-04).

확인하지 못하는 것: 요약이 뜻을 제대로 옮겼는가 · 중요한 것을 빠뜨렸는가 · 인용한 앵커가 적절한가. GR-05는 어휘 겹침 힌트일 뿐이고 판단은 사람이 합니다. 응답의 not_verifiable이 이 한계를 명시합니다 — 통과했다는 것이 맞다는 뜻은 아닙니다.

원문을 다듬어 쓰는 것은 정상입니다. 대조는 앵커·수치·직접 인용만 봅니다.

Args: path: 원본 파일. draft: 초안 전문.

Returns: GroundingResponse: 규칙 위반 목록, 검사·면제 통계, 인용 범위(coverage).

Examples: - 사용: 초안을 쓴 직후, 저장 전 - 사용하지 않음: 저장 계획과 승인 토큰이 필요할 때 → preview_save_report

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes초안이 근거로 삼은 원본 파일
draftYes검증할 초안 (마크다운 전문)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
gradeYes
stageYes분석 워크플로에서 지금 위치한 단계
countsYesseverity별 건수. 코드가 센 값입니다
statusYes이 호출의 결과 상태
coverageYes어느 블록이 인용되지 않았는지. **누락은 오류가 아닙니다**
findingsYes
verifiableYes이 검사가 기계적으로 확인한 것
anchors_usedYes
exempt_linesYes앵커를 요구하지 않아 건너뛴 줄 수
next_actionsNo이어서 호출하면 좋은 도구 목록
not_verifiableYes이 검사가 확인할 수 없는 것. 사람이 판단해야 합니다
unknown_anchorsYes초안이 인용했지만 문서에 없는 앵커
checked_sentencesYes
Behavior5/5

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

Annotations already cover read-only, idempotent, and non-destructive behavior. The description adds valuable limitations: what cannot be verified (meaning, omissions, anchor appropriateness), that GR-05 is only a hint, and that passing the check does not imply correctness. This goes well beyond the structured fields and sets correct expectations.

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

Conciseness4/5

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

The description is well-structured with clear headers and bullets, front-loading the core purpose and limitations. It includes useful examples and explicit caveats. It repeats the parameter definitions already present in the schema, which is minor redundancy, but overall it remains efficient and scannable.

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

Completeness5/5

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

For a read-only validation tool, this description is complete: it states what is verified, what is not verifiable, the meaning of not_verifiable, the normal handling of reworded text, and provides both usage and non-usage examples. The output schema (GroundingResponse) already defines the return structure, so no further details are needed.

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% and both parameters already include meaningful descriptions in the schema (path as 'original file', draft as 'full draft to verify'). The Args section in the description only repeats this information, adding no new semantic meaning. 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 states a specific verb and resource – 'checks whether each sentence of the draft is grounded on original anchors' – and enumerates the four concrete rules (GR-01 to GR-04). This clearly differentiates it from siblings like preview_save_report, which handle saving and approval.

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?

Explicitly provides both positive and negative usage conditions: 'use right after writing the draft, before saving' and 'do not use when a save plan and approval token are needed', naming the alternative tool preview_save_report. This leaves no ambiguity about when to invoke the tool.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/goods9999-ai/personal-file-analysis-mcp_test_20260826'

If you have feedback or need assistance with the MCP directory API, please join our Discord server