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akai_kv_cache

Compress key-value caches using v8 RLF technique to reduce memory usage in knowledge processing tasks.

Instructions

akai-kvcache — v8 RLF KV cache compression. (category: knowledge)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoCLI arguments to pass to the operator
stdinNoOptional stdin data
Behavior1/5

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

No annotations provided and the description lacks any behavioral traits. It does not disclose whether the tool is destructive, requires authentication, or any side effects.

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

Conciseness2/5

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

The description is one line but is under-specified. It does not front-load key information; it merely names the tool and category.

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

Completeness1/5

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

The description is completely inadequate for a complex tool like KV cache compression. No output schema, no explanation of arguments, and no usage context.

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 100% but the descriptions are generic ('CLI arguments', 'Optional stdin data') and add no meaningful context for KV cache compression usage.

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

Purpose2/5

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

The description mentions 'v8 RLF KV cache compression' and 'category: knowledge', but does not clearly state what the tool does. The verb 'compression' is implied but not explicit. The purpose is vague and ambiguous for an AI agent.

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 vs alternatives. Sibling tools like akai_compress, akai_flash_qla exist but no differentiation is 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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