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timps_ai_workflow_orchestrator

Convert plain-English multi-step workflows into executable code for LangGraph, Temporal, or Claude-Flow, and generate a Mermaid diagram and tests.

Instructions

Turn a plain-English multi-step workflow into executable code for LangGraph, Temporal, or Claude-Flow — plus a Mermaid diagram and tests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description fully carries the behavioral burden. It describes the transformation (workflow → code) but doesn't mention outputs, side effects, limits, or require that `request` be in plain English despite being explicitly described as 'plain-English'. The description mentions it produces 'code, diagram, and tests' but doesn't say what happens to existing files or whether it modifies anything.

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

Conciseness4/5

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

Single clear sentence, well front-loaded with the core purpose. Could benefit from example input/output or sample usage.

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

Completeness3/5

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

Given no output schema and only 2 simple params, the description covers the essentials: input type, target frameworks, and outputs (code, diagram, tests). The missing piece is output format details, but for a no-output-schema tool this is acceptable.

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 has 2 parameters at 100% coverage — 'request' is described as 'Plain-English task or context' and 'language' has a default. The description adds 'multi-step workflow' specificity but the parameter names carry most of the meaning. Baseline 3 is appropriate since schema covers everything.

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 specifies generating executable code for three named frameworks plus a Mermaid diagram and tests from a plain-English workflow. It clearly distinguishes itself from sibling workflow/automation tools.

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?

The description doesn't explain when to use this tool or when alternatives are better. No mention of input characteristics, complexity limits, or when a simpler tool might suffice.

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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