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matt-coppinger

Horizon MCP Server

update_desktop_pool

Update an existing desktop pool's configuration using its pool ID and a modified specification. Retrieve current settings, adjust the relevant fields, and apply the changes.

Instructions

Update an existing desktop pool's configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYesUpdated pool specification. Retrieve the current config with get_desktop_pool, modify the relevant fields, and pass the result here. Omit read-only fields such as id, type, and source.
pool_idYesDesktop pool ID — obtain from list_desktop_pools

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It says 'update' which implies mutation, but doesn't disclose whether the update is partial or full replacement, whether read-only fields are stripped, what happens on failure, or any side effects. The schema hints at read-only fields to omit, but the description itself adds no behavioral context.

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 a single concise sentence that states the action clearly. It's front-loaded and efficient. It could add a bit more context, but for its length it's well-structured.

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

Completeness3/5

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

The tool has an output schema and 100% parameter coverage, so the description doesn't need to explain return values. However, for a mutation tool with no annotations, it lacks behavioral details like whether the update is a full replacement or partial patch, and what happens to omitted fields. The schema's workflow hint partially compensates, but the description alone is thin.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds value by explaining the workflow: retrieve current config, modify relevant fields, omit read-only fields. This goes beyond the schema's bare parameter descriptions and helps the agent construct the spec correctly.

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 clear verb and resource: 'Update an existing desktop pool's configuration.' This distinguishes it from create_desktop_pool and delete_desktop_pool, though it doesn't explicitly name them. The purpose is unambiguous.

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

Usage Guidelines3/5

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

The description implies usage context by saying 'existing' (vs create) and the schema instructs to retrieve current config with get_desktop_pool, modify, and pass it back. This is a clear workflow hint, but it doesn't explicitly state when to use this tool vs alternatives or mention any prerequisites beyond the schema.

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