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akai_flow

Execute coroutine-native pipelines for sequential data processing. Chain operations to build efficient workflows.

Instructions

akai-flow — coroutine-native pipeline programming. (category: pipeline)

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 exist, so the description bears full responsibility. It discloses no behavioral traits—whether the tool runs a program, modifies state, requires permissions, or has side effects. The agent cannot infer the tool's effect.

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 extremely concise at only one short phrase, but it sacrifices necessary detail. Conciseness should not come at the expense of utility; this is under-specification rather than efficient delivery.

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 tool has no output schema, no annotations, and only 2 parameters. The description fails to compensate, leaving the agent with insufficient information to understand tool behavior or return format.

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% with self-explanatory parameters (args, stdin). The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.

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 'coroutine-native pipeline programming' gives a high-level conceptual label but lacks a specific verb and resource. It does not differentiate from sibling tools like 'akai_pipeline' or 'akai_workflow' which could also relate to pipeline operations.

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 on when to use this tool versus alternatives. Given many sibling tools with overlapping themes (pipeline, workflow, run), the description provides no context for 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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