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万忆园艺师

Use deep consolidation to detect contradictions and redundancy in daily notes, extract insights, crystallize skills, and write structured daily logs for reliable long-term memory.

Instructions

园艺师后台(KektorDB式):深巩固(矛盾检测+冗余检测+洞见提炼+技能结晶+每日思考档案)/ 仅写每日日志

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoconsolidate(深巩固)/daily_log(每日档案)consolidate

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It usefully enumerates sub-behaviors of deep consolidation and says the daily-log mode 'only writes' the daily log. However, it does not state whether consolidation mutates existing memories, whether it is reversible, or what side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is compact, but the dense parenthetical list and the '/ 仅写每日日志' slash make the structure ambiguous. '园艺师后台(KektorDB式)' is also unexplained filler. A bulleted or explicit mode-by-mode layout would be clearer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description should say what the tool returns, when to choose each mode, and whether consolidation has side effects on stored memories. It covers only the high-level operations, leaving an agent without enough context to confidently select it over sibling consolidation tools.

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

Parameters4/5

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

The schema already covers the one action parameter, but the description adds meaning beyond the property comment: it expands 'consolidate' into four concrete analysis steps and clarifies 'daily_log' as writing only the daily log. That is valuable enrichment.

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 concrete operations: deep consolidation with contradiction detection, redundancy detection, insight extraction, skill crystallization, and daily-log writing. This is not a tautology and is reasonably specific, though the slash between the two modes is ambiguous and no sibling tool is named for differentiation.

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?

There is no guidance on when to call this tool versus siblings such as 万忆睡眠巩固 or 万忆知识压缩. The action choices consolidate/daily_log are listed, but no contextual trigger, prerequisites, or exclusions are given.

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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