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Zehee

Kimi Code Memory MCP Server

by Zehee

trace_theme

Follow a theme's development over time by fetching related turns and memories sorted chronologically, enabling cross-session context recovery.

Instructions

Trace the evolution of a theme across sessions and memories. Returns associated turns and memories sorted by time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
themeYesTheme identifier
includeTurnContentNoIf true, load full turn content from wire.jsonl (default: false)

Schema Changelog

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

  1. First observedv0.4.2

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does disclose that results are sorted by time and returns associated turns and memories, but it does not explicitly state whether this is a read-only operation or describe any side effects, performance implications, or data-loading behavior beyond the schema.

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 short sentences with zero wasted words. The core purpose is front-loaded, and the return behavior is stated succinctly in the second sentence.

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 simple two-parameter tool with no output schema, the description adequately explains what is returned and how it is ordered. It is missing some context about possible limitations or when to prefer another tool, but it is broadly complete for the tool's complexity.

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 schema already documents both parameters. The description adds no additional meaning about 'theme' or 'includeTurnContent' beyond what the schema provides, so the baseline of 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?

The description clearly states a specific verb ('Trace'), a resource ('evolution of a theme across sessions and memories'), and the output ('associated turns and memories sorted by time'). This distinguishes it from siblings like search or recall, which imply broader retrieval rather than temporal theme evolution.

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

Usage Guidelines2/5

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

The description gives no explicit guidance on when to use this tool versus alternatives such as recall, search_context, or list_themes. The only usage signal is implied by the word 'Trace,' but there are no exclusions, prerequisites, or comparisons to other tools.

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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