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think

Route thoughts to the correct memory layer by importance and content, with automatic or explicit user/agent selection. Add wiki metadata to organize knowledge for searchable retrieval.

Instructions

Universal Primitive: routing thoughts to correct memory layers based on importance and content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
layerNoauto
user_idNodefault
wiki_typeNo
wiki_titleNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior, but it only offers the abstract notion of 'routing'. It does not say whether this persists data, how layers are chosen, what side effects occur, or what the agent should expect when calling it.

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 description is short and compact, but the prefix 'Universal Primitive' adds little value and the rest is abstract rather than information-dense. It is not bloated, yet it does not use its brevity to deliver clarifying detail.

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?

A single conceptual sentence is insufficient for a tool with 5 parameters, no parameter descriptions, and no annotations. The agent lacks enough information to correctly populate fields like `user_id`, `wiki_type`, and `wiki_title`, or to know the exact behavior of the `auto` layer.

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

Parameters2/5

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

Schema description coverage is 0%, and the description adds only a loose connection between 'thoughts' and `text` and between 'memory layers' and `layer`. It does not explain `user_id`, `wiki_type`, `wiki_title`, or how importance/content maps to the `layer` enum.

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 identifies a specific action ('routing thoughts') and a resource ('memory layers'), adding selection criteria ('based on importance and content'). It is clear enough as a high-level purpose, though it does not explicitly distinguish itself from sibling tools.

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 use this tool versus dream, forget, evolve, or project. Calling it a 'Universal Primitive' only weakly implies general applicability, but no conditions, exclusions, or alternative selection rules are provided.

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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