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Parallels RAS MCP Server

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Active RD Sessions

ras_sessions_list
Read-onlyIdempotent

List active remote desktop sessions across a Parallels RAS farm with user, IP, device, state, resolution, and server details. Filter and limit results to monitor users or troubleshoot connectivity.

Instructions

List active remote desktop sessions across the RAS farm — username, client IP, device name, state, screen resolution, and connected server. Use this to monitor active users, check session counts, troubleshoot connectivity, or identify idle/disconnected sessions. Supports fields, filter, and limit — prefer narrowing over fetching everything on large farms.

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

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, so the safety profile is covered. The description adds non-annotation value: the exact shape of returned rows and a performance hint to narrow rather than fetch everything on large farms. It still omits pagination/auth behavior, keeping it short of a 5.

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?

Three compact sentences: what it returns, when to use it, how to scope it. Front-loaded and free of filler, though the closing narrowing tip partially duplicates the schema's own parameter guidance.

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?

With no output schema, the description correctly compensates by listing the fields returned, and it covers when to use the tool and how to limit cost on large farms. It is essentially complete for a read-only list tool, needing only minor detail on pagination or empty-result behavior.

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 three parameters are already fully documented with defaults, bounds and semantics. The description only repeats the parameter names and the narrowing advice, adding no syntax or format information beyond the schema; baseline 3 applies.

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 active remote desktop sessions across the RAS farm') and enumerates the returned columns (username, client IP, device name, state, resolution, connected server). This clearly distinguishes it from the configuration-oriented siblings such as ras_infra_get_rds_hosts or ras_site_get_load_balancing.

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?

Gives explicit usage contexts: monitor active users, check session counts, troubleshoot connectivity, identify idle/disconnected sessions. It does not name an alternative tool or state when NOT to use it, but the sibling set makes the boundary fairly obvious.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.