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Zehee

Kimi Code Memory MCP Server

by Zehee

organize_memories

Retrieve pending memory files and rules, then store an organized essence Markdown with source citations to maintain context across chat sessions.

Instructions

Two-stage workspace memory organizer. Empty call returns existing essence + pending memory files + rules. Call with content to store the organized essence.md.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentNoOrganized essence Markdown body. Key facts should cite sources inline using `> 来源:memory/<folder>/key`.
sourcesNoOptional list of memory/ keys incorporated into the essence, returned in the tool result for tracking.

Schema Changelog

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

  1. First observedv0.4.2

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose meaningful stateful behavior: empty call is a read returning essence, pending files, and rules; content call writes essence.md. However, it never discloses write semantics — whether storing overwrites or merges the existing essence, or what happens to 'pending memory files' after incorporation.

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?

Two sentences, roughly 25 words, with the core concept front-loaded and each stage explained in one clause. Every sentence earns its place; a brief note about when this stage should be triggered would make it fully self-contained.

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 two-stage behavior is captured, but for a stateful write tool with no annotations and no output schema, the definition omits important context: overwrite/merge semantics, the lifecycle of pending memory files, prerequisites like workspace bootstrapping, and routing relative to the memory siblings. It is adequate with clear gaps.

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%, so the baseline of 3 applies; the schema already documents that content is a Markdown body with inline citation format and that sources is a tracking list of memory/ keys. The description adds light context by tying content to the essence.md artifact, but offers no parameter detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (workspace memory) and spells out two concrete operations: an empty call returns 'existing essence + pending memory files + rules,' and a content call stores 'the organized essence.md.' This distinguishes it from retrieval-only siblings like recall and search. However, the primary action is framed as a noun phrase ('organizer') rather than an explicit directive verb.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives conditional usage guidance for its own two modes (empty vs. with content), which is useful. But with 19 sibling tools, it never states when to use this consolidation workflow versus alternatives like remember or recall, leaving routing entirely to inference.

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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