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vmware-harden

by vmware-skills
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Python
Local

list_baselines

Read-onlyIdempotent

Lists all available compliance baselines, including built-in CIS ESXi, vSphere SCG, PCI-DSS, DJCP, NIS2, and BSI frameworks plus user-imported YAML files. Use it to find valid baseline IDs for rule lookups and compliance scans.

Instructions

[READ] List all available compliance baselines: built-in (CIS ESXi 8.0, vSphere SCG v8, PCI-DSS 4.0, DengBao 2.0 L3, EU NIS2, BSI ITGS) plus any user-imported YAML baselines from ~/.vmware-harden/baselines/. Takes no parameters. Returns the family list envelope {items, returned, limit, total, truncated, hint}; each item is {id, name, version, applies_to (node types covered), rule_count}, and entries that fail to load carry an 'error' field instead. Every baseline is listed, so truncated is always false and total is exact — this is the complete set, not a page of it. Read-only — parses local baseline YAML only, no database or network access. Start here to discover valid baseline ids for get_baseline_rules and scan_target.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.10.4
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed1 schema field changedv1.8.8
    • changedOutput schema / (root)
      Previous value: -{
-  "properties": {
-    "result": {
-      "items": {
-        "additionalProperties": true,
-        "type": "object"
-      },
-      "title": "Result",
-      "type": "array"
-    }
-  },
-  "required": [
-    "result"
-  ],
-  "title": "_list_baselines_implOutput",
-  "type": "object"
-}New value: +null
  3. Addedv1.5.29
  4. Removedv1.5.28
  5. First observedv1.5.22

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already mark the tool as read-only and idempotent, and the description adds substantial context: it parses local YAML onl, has no database or network access, returns the complete set with exact totals, and reports failed entries via an error field. This goes well beyond structured fields.

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?

The description is detailed but every sentence earns its place: the builtin list removes ambiguity, the return format compensates for the missing output schema, and the read-onl/source note adds safety context. It is front-loaded with the [READ] tag and the core purpose.

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?

Since there is no output schema, the description fully explains the return envelope and item fields, including the error case and truncation behavior for the complete set. It also covers the data source and the downstream use for baseline ids. Nothing essential is missing.

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 zero parameters and the schema already exhaustively covers this. The description confirms there are no parameters, which is appropriate, but there is no additional semantic detail needed. Baseline for 0 params is 4.

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 compliance baselines', enumerates built-in sources and the local YAML path. It also positions itself as the discovery entry point for get_baseline_ules and scan_target, which helps distinguish it from sibling toools.

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?

Provides clear context with 'Start here to discover valid baseline ids for get_baseline_ules and scan_target.' This is strong usage guidance, but it does not explicitly state when not to use this tool or contrast it with all alternatives, so it stops short of a 5.

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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