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plan_workflow

Create an execution plan for multi-step VMware workflows like clone-and-test or incident response, with approval gates and audit logging.

Instructions

[WRITE] Create an execution plan for a multi-step workflow.

Available workflow types:

  • clone_and_test: Clone VM → apply changes → monitor → approve → commit

  • incident_response: Diagnose alert → collect info → approve → remediate

  • plan_and_approve: Wrap aiops batch operations with approval gate

  • compliance_scan: Read-only health/capacity/anomaly check (no approval)

Args: workflow_type: One of the available workflow types. params: Workflow-specific parameters. clone_and_test: target_vm (str), change_spec (dict), monitor_minutes (int), target (str). incident_response: alert_entity (str), alert_name (str), target (str). plan_and_approve: operations (list[dict]), target (str), description (str). compliance_scan: target (str), check_alarms (bool), check_capacity (bool).

Returns: dict with workflow_id, steps summary, and plan details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_typeYes
paramsYes
Behavior4/5

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

Annotations indicate readOnlyHint=false, destructiveHint=false. The description adds context by labeling it as a write operation ('[WRITE]') and detailing that compliance_scan is read-only, despite readOnlyHint=false. No contradictions.

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?

The description is well-structured with bullet points and front-loaded purpose. It is concise given the complexity, though slightly lengthy due to detailed parameter breakdown.

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

Completeness4/5

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

Provides return value details (dict with workflow_id, steps, plan) since no output schema exists. Covers all workflow types' parameters, but misses error handling or validation notes. Generally complete for the complexity.

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

Parameters5/5

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

Schema coverage is 0% (no descriptions in input schema). The description fully compensates by listing all workflow types with their specific parameters and types, adding significant meaning beyond the bare schema.

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?

The description clearly states the tool's purpose: 'Create an execution plan for a multi-step workflow.' It lists specific workflow types with brief descriptions, distinguishing it from siblings like run_workflow or create_workflow.

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

Usage Guidelines4/5

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

The description provides guidance on when to use each workflow type (e.g., compliance_scan is read-only). However, it lacks explicit comparisons with sibling tools to guide when to choose this tool over alternatives.

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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