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akai_speech_loop

Converts speech input through a pipeline of Whisper transcription, text transformation, and Piper speech synthesis. Supports CLI arguments and stdin.

Instructions

AkaiSpeechLoop — Whisper → Transform → Piper speech transformation. (category: media)

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 are available, and the description fails to disclose any behavioral traits such as side effects, required permissions, or input constraints. The agent cannot infer whether this tool modifies state or is safe to call.

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 but lacks informative content. While not verbose, it fails to concisely convey essential details, making it less valuable than a more structured description.

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 lack of output schema, annotations, and detailed description, the tool definition is incomplete. The agent lacks key context about input/output behavior and usage constraints.

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 coverage is 100%, so the baseline is 3. The description does not add meaning beyond the schema's generic parameter descriptions ('CLI arguments', 'Optional stdin data'). The tool's core function remains unexplained.

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

Purpose3/5

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

The description 'Whisper → Transform → Piper speech transformation' vaguely indicates a speech processing pipeline but lacks a clear verb and resource. It does not explicitly state what the tool does (e.g., 'Transform speech using Whisper and Piper') or how it differs from siblings like akai_transcribe.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools (e.g., akai_transcribe, akai_narrate), the lack of contextual guidance hinders correct selection.

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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