personal understanding
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| resources | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| personal_preflight_turnA | 当前用户消息的强制内容预检。它持久化 turn receipt;个人经历、感受、关系、偏好、决定即使请求形式是润色/总结/看图,也会要求 capture。两档调用(2.4.0 起):内容含个人材料或活动足迹类轮次(如'正在玩某游戏')走完整档(tier=full/auto),足迹轮次受足迹纪律(写入前定向查重、恰好一条微型记录、零新增可 no-derivation 收场);纯技术/吃喝/购物等明显无关或零增值轮次不调用本工具(跳过档)。tier=light 已废弃,传入按 full 处理。 |
| personal_catalogA | 读取 v2 全局勘察。常规交互读取必须先完成当前轮次 turn preflight capture 并提供 capture_id;足迹/攻略类消息被 capture 闸门拦下时,可用 maintenance=true 做只读降级读取(有 trace 审计,不写档案),随后按足迹纪律用 tier=full 重声明补 capture。 |
| personal_retrieveA | 按 v2 事件、实体和情境卡读取 probe/deep。必须先完成当前轮次 turn preflight capture,并提供 capture_id;否则拒绝读取。 |
| personal_capture_user_turnA | 绑定已判定为个人材料的 turn receipt,原样保存完整用户消息。没有 preflight 或 preflight 判为非个人时拒绝写入;捕获后仍必须派生并 finalize。 |
| personal_add_recordA | 创建派生记录。若来源是当前用户补充,必须先有 verbatim capture,并把 verbatim_refs 写入记录。活动足迹类微型记录传 tier=light(salience 0-1),完整档记录不传或传 full;记录层 tier 仅表示记录形态,不再表示调用档位。 |
| personal_finalize_captureA | 关闭当前原话捕获的派生闭环。derived 必须已有至少一条双向链接记录;无需派生时必须写具体原因(零新增收场须写明定向查重命中的既有记录)。回答前必须调用。 |
| personal_derivation_statusA | 读取 capture→records 闭环状态,检查 pending、孤立捕获和链接漂移。 |
| personal_add_followupB | 登记有上下文的待回访问题;到期后由个人理解 Skill 主动检查。 |
| personal_resolve_followupA | 关闭一条回访(answered 回访完成 / declined 用户不再跟进 / resolved 回路以其他方式关闭,含方案被取代或过时);note 必填且须具体。可选 capture_id 把本轮用户回答的原话 capture 绑到回访上(须已存在于 ledger)。 |
| personal_add_hypothesisA | 登记候选因果解释;默认 candidate,不得冒充事实。 |
| personal_validateA | 校验 v2 结构,并明确区分失败、警告和干净。默认强制要求所有 capture 已完成派生闭环。只读。 |
| personal_add_feedbackA | 记录一次依赖个人记忆的回答的效果:用了哪些记忆、用户反应说明 helpful/missed/corrected。不需要用户正式打分。 |
| personal_session_checkB | 回答或声称档案已更新前的硬闸门:turn receipt + capture 闭环 + 结构 + v2 完整性。个人 turn 必须传 turn_id,缺 capture 或 finalize 会失败。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| 个人理解 v2 全局勘察 | 时间主干、实体、情境、当前状态和待回访。 |
| 个人理解 Skill 信息 | v2 规则和入口。 |
TDQS
Scored across 13 tools
The tools form a clear pipeline (preflight → capture → derive → finalize → retrieve), but the check-like family (preflight_turn, derivation_status, validate, session_check) has fuzzy boundaries that require careful reading of each dense description. Catalog vs retrieve is also a subtle distinction (global survey vs targeted retrieval). The descriptions contain enough context to disambiguate if read fully, but an agent could easily misselect among the gate/validation tools.
All tools share the personal_ prefix and 8 of 13 follow the verb_noun pattern (add_record, resolve_followup, capture_user_turn, finalize_capture). The bare verbs (retrieve, validate), noun commands (catalog), and noun-noun compounds (derivation_status, session_check) are minor deviations that remain readable and predictable within the overall imperative style.
13 tools is on the higher end of well-scoped but each maps to a distinct stage of the capture-derive-finalize-retrieve workflow, plus follow-ups, hypotheses, and feedback. The pipeline ceremony (6 capture/check tools) could potentially be consolidated, making the count feel slightly padded rather than bloated.
The capture→derive→finalize→retrieve pipeline is fully covered, and follow-ups have both add and resolve operations. However, there is no tool to update or delete a personal record (correcting a wrong memory is essential for personal memory), and hypotheses can be added but never confirmed or retired, leaving notable lifecycle gaps in the core domain.