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Glama

list_findings

Retrieve prior session findings, newest first, with optional filters for AI layer, node anchor, or minimum confidence.

Instructions

이전 세션의 gold 목록 — 인수인계 시 가장 먼저 호출한다.

최신 발견이 먼저 온다 (created_at desc). body 는 무거워질 수 있어 목록에서 빠지며, 상세는 get_finding 으로 가져온다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
layerNo특정 AI/세션의 발견만
limitNo페이지 크기
offsetNo페이지 시작 위치
node_idNo이 노드를 앵커로 가진 발견만
min_confidenceNo이 확신도 이상만 (예: 0.5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden. It discloses ordering (created_at desc) and that the heavy body field is intentionally omitted from list results. It does not mention pagination or auth, but the key behavioral traits affecting use are surfaced.

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 compact, front-loaded sentences deliver the essential usage directive first, then ordering and body payload behavior. No filler or redundancy.

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 list tool with full schema coverage and an output schema, the description covers the critical operational details: when to call, ordering, and why body is absent. It could mention filtering by layer/node, but those are already in the schema, so the definition is sufficiently complete.

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 the parameters are already fully documented. The description adds context about list ordering and body omission but does not enrich parameter meaning beyond the schema. 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?

States a specific verb and resource: lists findings, specifically the 'gold' findings from previous sessions. It differentiates itself from siblings by noting that details should be fetched via get_finding, making its role clear.

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?

Explicitly instructs to call this first during handoff, giving clear contextual usage. It also explains that detailed content is available via get_finding, effectively routing the agent away from this list when body content is needed. It does not list exhaustive exclusions, but context is clear.

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