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Glama
Zehee

Kimi Code Memory MCP Server

by Zehee

tag_theme

Analyze a conversation turn, confirm its genuine relevance to a theme, and attach it to that theme for structured memory, auto-creating the theme if it doesn't exist.

Instructions

仔细分析 turn 内容与 theme 确定相关后,将 turn 挂载到 theme。禁止仅凭关键词匹配挂载;必须确认内容 genuinely belongs to the theme 才可关联。如果 theme 不存在会自动创建。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
themeYesTheme identifier. A theme is a semantic group, not a keyword tag.
turnIdNoOptional turn id within the session
memoryKeyNoOptional memory key to attach
sessionIdNoOptional session id of a conversation turn to attach
memoryTitleNoOptional display title for the memory reference
memoryFolderNoOptional memory folder (default: memory)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.2

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does reveal the significant auto-create-theme behavior, but it does not explain what happens when multiple optional targets are provided, whether the operation is idempotent, or what the return value is.

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 concise and every sentence carries relevant information, including the semantic requirement and auto-creation. The main action is not front-loaded; it appears after a conditional clause, which is a minor structural inefficiency.

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?

The description covers the core operation and the auto-create behavior, which is enough for basic invocation. However, it does not explain parameter selection when both turn and memory fields are available, nor what the tool returns, leaving some ambiguity for an agent given the six-parameter schema and no annotations.

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?

All six parameters already have clear schema descriptions, so the baseline is 3. The tool description adds no parameter-specific detail and even narrows the scope to turns while the schema also supports memory attachment, though the schema itself clarifies those fields.

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 action: attaching a turn to a theme after confirming semantic relevance. It explicitly distinguishes the operation from keyword-based tagging and discloses automatic theme creation, making the purpose specific and unambiguous.

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 gives strong usage guidance: only attach when the content genuinely belongs to the theme, and never on keyword match alone. It does not explicitly route the agent to sibling tools, so it falls just short of a 5.

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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