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Parallels RAS MCP Server

by RMITBLOG
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JavaScript
Remote

RAS Agents

ras_infra_get_agents
Read-onlyIdempotent

Retrieve Parallels RAS agents across the farm with hostname, IP, OS, version, and status. Filter, select fields, and limit results to verify deployment or diagnose connectivity.

Instructions

List all Parallels RAS agents deployed across the farm — hostname, IP, OS, agent version, and current status. Use this to verify agent deployment, diagnose connectivity, or check agent versions. Supports fields, filter, and limit to narrow large result sets.

Input Schema

NameRequiredDescriptionDefault
limitNoMax rows after filtering. Default 50, max 200. Prefer narrowing with `filter` over raising the limit.
fieldsNoTop-level keys to keep on each row. Unknown keys are dropped. Use this to shrink large responses to only the columns you need.
filterNoEquality filter on top-level fields (AND across keys). String values match case-insensitively.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv1.3.0
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / fields
      Added value: +{
+  "description": "Top-level keys to keep on each row. Unknown keys are dropped. Use this to shrink large responses to only the columns you need.",
+  "items": {
+    "type": "string"
+  },
+  "type": "array"
+}
    • addedInput schema / properties / filter
      Added value: +{
+  "additionalProperties": {
+    "type": [
+      "string",
+      "number",
+      "boolean"
+    ]
+  },
+  "description": "Equality filter on top-level fields (AND across keys). String values match case-insensitively.",
+  "type": "object"
+}
    • addedInput schema / properties / limit
      Added value: +{
+  "description": "Max rows after filtering. Default 50, max 200. Prefer narrowing with `filter` over raising the limit.",
+  "maximum": 200,
+  "minimum": 1,
+  "type": "integer"
+}
  2. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds that the result set can be large and that fields/filter/limit help narrow it, but this largely duplicates the schema and does not disclose auth requirements, pagination behavior, or other operational context.

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?

Two sentences, front-loaded with the core purpose and returned fields, then the usage contexts. Every sentence earns its place with no redundancy.

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?

For a read-only list tool with rich annotations, full schema descriptions, and no output schema, the description covers what is needed: what it lists, when to use it, and how to narrow results. Nothing critical is missing.

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 description coverage is 100%, so the schema already explains limit, fields, and filter in detail. The description only names these parameters without adding syntax, defaults, or interpretation beyond what the schema provides.

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 states a specific verb ('List'), resource ('Parallels RAS agents'), and scope ('across the farm'), and enumerates returned fields (hostname, IP, OS, agent version, status). It is clear what the tool does, but it does not explicitly distinguish itself from infrastructure siblings like ras_infra_get_connection_brokers or ras_infra_get_providers.

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?

It provides three concrete use cases: verifying agent deployment, diagnosing connectivity, and checking agent versions. However, it gives no guidance on when not to use this tool or which sibling tool to prefer for related infrastructure queries.

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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