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Python
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list_workflows

Read-onlyIdempotent

Discover all built-in and custom workflow templates for VMware orchestration. Use one to create a workflow if it matches your goal; otherwise create a new workflow.

Instructions

[READ] List all available workflow templates (built-in + custom).

Use this first to see whether a template already covers the goal, then pass its name to create_workflow_from_template; if none fit, use create_workflow instead. Built-in templates are always available. Custom templates are loaded from ~/.vmware/workflows/*.yaml — drop a YAML file there to add your own workflows.

Returns: dict with builtin and custom workflow lists, each with name, description, steps count, plus active_workflows — the IDs of in-flight runs to pass to get_workflow_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.11.1
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observedv1.5.22

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description still adds real behavioral context the annotations cannot: that built-in templates are always present while customs come from ~/.vmware/workflows/*.yaml, which tells the agent why a template might be missing.

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

Conciseness5/5

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

Front-loaded with the [READ] marker and the core purpose, then routing, then source behavior, then a Returns block. Every sentence carries a distinct piece of information with no filler.

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

Completeness5/5

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

There is no output schema, and the description compensates by enumerating the return shape: builtin and custom lists with name, description, step count, plus the active_workflows IDs to feed into get_workflow_status. That is everything an agent needs to consume the result correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. No misleading parameter hints are present.

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

Purpose5/5

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

States a specific verb and resource ('List all available workflow templates') and immediately scopes it to built-in plus custom, which no sibling does. The [READ] tag and the named siblings (create_workflow_from_template, create_workflow) let an agent place this tool without opening the schema.

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

Usage Guidelines5/5

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

Explicit conditional routing: use this first, then pass a name to create_workflow_from_template, otherwise fall back to create_workflow. Both the when-to-use and the alternatives are named outright.

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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