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akai_sae

Execute SAE feature dictionary inference, generating .bfsae output from input arguments and optional stdin.

Instructions

akai-sae — SAE feature dictionary runtime. Produces: .bfsae. (category: inference)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoCLI arguments to pass to the operator
stdinNoOptional stdin data
Behavior2/5

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

No annotations provided; description does not disclose side effects, access requirements, or behavior beyond stating it is a runtime producing .bfsae output.

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?

Brief sentence with no waste, but lacks structure and could include key details.

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?

No output schema; description only hints at output format (.bfsae) without explaining return values or behavior for args/stdin.

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 covers both parameters with descriptions; the tool description adds no extra parameter meaning beyond 'CLI arguments' and 'stdin'.

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 clearly states it is a 'SAE feature dictionary runtime' that produces .bfsae files, distinguishing it from sibling tools like akai_api or akai_model.

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, prerequisites, or context.

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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