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ArkaAiAdmin

Agentic Memory

by ArkaAiAdmin

memory_compile_skill

Compile a lesson note into a validated executable agent skill rule file.

Instructions

Compile a lesson note into a validated executable agent skill rule file in ~/.agents/skills/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skill_nameYes
lesson_slugYes
primary_triggersYes
secondary_triggersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description provides some behavioral context (output is a validated executable file saved to a specific path) but does not disclose side effects like overwriting, validation failures, or required permissions.

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 a single sentence, making it concise. However, it sacrifices important details like parameter explanations and usage context, which could have been added without significant verbosity.

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 the tool complexity (4 parameters, output schema exists) and the presence of many sibling tools, the description is incomplete. It lacks parameter semantics, usage guidelines, and sufficient behavioral transparency for safe invocation.

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

Parameters1/5

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

Schema description coverage is 0%, and the description fails to explain any of the four parameters. Terms like 'lesson note' loosely relate to lesson_slug but primary_triggers and secondary_triggers are not mentioned, leaving the agent without sufficient guidance to fill parameters correctly.

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 tool compiles a lesson note into a validated executable agent skill rule file, specifying the output location (~/.agents/skills/). This distinguishes it from sibling tools like memory_learn or memory_extract_skills.

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?

No guidance on when to use this tool versus alternatives, no prerequisites (e.g., lesson note existence), and no exclusions. An agent cannot determine the appropriate context from the description alone.

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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