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NeverDrunkMasterQian

spherical-memory-mcp

tool_store_memory

Store a new memory in the spherical memory space, using content, type, and semantic tags for associative recall.

Instructions

存储一条新记忆到球状记忆空间。

每次对话产生值得记住的信息时调用此工具。应在对话自然停顿点(如完成一个话题时)批量调用,而非逐句调用。

参数: content: 记忆内容全文(必填) memory_type: 一级类型(必填)。可选值:coding(编码开发)、creation(内容创作)、discussion(讨论交流)、planning(规划决策)、emotion(情感陪伴)、life(生活记录)、learning(知识学习) event_ids: 所属事件ID列表,最多3个。不提供则挂在默认事件上 personality_match: 此记忆与 Agent 人格核心的匹配度 0-1(可选,默认0.5)。0=与人格无关,1=高度相关 emotion_intensity: 情感强度 0-1(可选,默认0.3)。0=完全中性,1=极度强烈的情感冲击 emotion_type: 情感类型(可选,默认neutral)。可选值:joy(喜悦)、sadness(悲伤)、anger(愤怒)、fear(恐惧)、surprise(惊讶)、disgust(厌恶)、trust(信任)、anticipation(期待)、neutral(中性) semantic_tags: 语义标签列表(强烈建议提供,3-8个精准关键词)。❌ 不提供会导致引力检索效果极差!标签是引力链接的生命线。推荐:["项目名", "核心概念", "关键实体"] summary: 记忆摘要(可选)。不提供则自动截取前100字 sub_type: 二级子类型(可选)。如 coding.bugfix, creation.writing 等

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
memory_typeYes
event_idsNo
personality_matchNo
emotion_intensityNo
emotion_typeNoneutral
semantic_tagsNo
summaryNo
sub_typeNo
Behavior4/5

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

No annotations provided, but the description comprehensively explains parameter behaviors, including defaults and recommendations (e.g., semantic_tags critical for retrieval). It lacks details on return value or side effects, but for a write tool this is acceptable.

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 detailed and well-structured with a parameter list, but slightly verbose. Every sentence adds value, though minor trimming could improve conciseness.

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?

Given the 9 parameters (2 required) and no output schema, the description covers all inputs thoroughly and provides usage context. It could mention what the tool returns (e.g., success/failure), but overall sufficient.

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

Parameters5/5

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

Schema description coverage is 0%, but the description compensates fully by explaining all 9 parameters, including valid enum values, defaults, and usage recommendations. This adds significant meaning beyond the schema.

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's purpose: '存储一条新记忆到球状记忆空间' (store a new memory in spherical memory space). It explicitly distinguishes itself from sibling tools (e.g., recall, decay) by being the only tool for storing new memories.

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?

The description provides specific usage guidance: call when there is noteworthy information, batch at natural conversation pauses rather than sentence by sentence. This clearly tells the agent when and how to use the tool.

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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