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ALSO Cloud Marketplace MCP Server

ALSO Cloud Marketplace MCP Server

by pitwch

Get subscriptions

get_subscriptions

Retrieve subscriptions under a parent account, returning compact summaries by default to avoid oversized field arrays. Use list_company_subscriptions for company-name lookups.

Instructions

GetSubscriptions under parentAccountId. For "subscriptions of company X by name" prefer list_company_subscriptions. compact=true by default (drops huge Fields arrays).

Input Schema

NameRequiredDescriptionDefault
compactNoIf true (default), return a compact summary without huge Fields/PriceableItems arrays. Set false for full API payload.
activeOnlyNoWhen compact=true, only include Active subscriptions
parentAccountIdYesParent Account ID
resellerContextNoOptional reseller context Account ID (omit if unused)
excludeUserLevelNoIf true, exclude user-level subscriptions

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations present, the description carries the full behavioral burden. It does add useful context that compact=true is the default and drops large Fields arrays, but it says nothing about permissions, pagination, result volume, or what the non-compact payload looks like.

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 short sentences, front-loaded with the operation and scope, then the sibling routing, then the default behavior. Very little waste, though the quoted-phrase routing sentence is slightly compressed and the tool name is repeated verbatim rather than described.

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?

For a five-parameter read tool with no annotations and no output schema, the description covers the two things an agent most needs: the required scope and the default compact behavior. Return shape details are only partially implied via the compact mention, leaving a small gap.

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 all five parameters including compact, activeOnly, resellerContext, and excludeUserLevel are already documented in the schema. The description restates the compact default rather than adding interpretation, so baseline 3 applies.

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?

States a specific verb and resource ('GetSubscriptions') scoped to a parent account, which is concrete enough to act on. It does distinguish from list_company_subscriptions for the name-based lookup case, but the phrasing 'GetSubscriptions under parentAccountId' is terse and carries mild ambiguity about whether it returns one or many.

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?

Explicitly names an alternative tool and the condition that should route to it ('subscriptions of company X by name' -> list_company_subscriptions). It gives clear positive context but no guidance on when NOT to use it beyond that single case (e.g., vs get_subscription for a single ID).

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