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Glama

Get Subscription

get_subscription
Read-only

Get the organization's subscription: which plan is in force, its status, how many seats are paid for versus actually used, and whether a plan change is already scheduled for the period end. effectiveTier is the field feature limits are gated on — it accounts for a running trial and the grace period and can differ from the subscribed planTier. Requires organization context. Read-only: plan, seat and top-up changes are not available through MCP by design — a human does those in the web app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The description goes beyond the readOnlyHint annotation by explicitly stating that changes are not available through MCP and that a human performs them in the web app, providing clear behavioral expectations. This additional context fully discloses the tool's limitations.

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 three sentences, each adding distinct value: what it returns, the field semantics, and the access restriction. It is structured logically and avoids redundancy, making it concise for the information conveyed.

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?

Given there is no output schema, the description sufficiently covers what data will be returned (plan, status, seats, scheduled changes) and clarifies the distinction between effectiveTier and planTier. It also notes the prerequisite of organization context, making the tool self-contained for an agent.

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?

There are no parameters, so schema coverage is trivially 100%. The description adds value by explaining the meaning of key returned fields (effectiveTier vs subscribed planTier), which helps users understand the data even though no input parameters exist. Baseline 4 is appropriate.

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?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('the organization's subscription'), and specifies the key details it returns (plan, status, seats, scheduled changes). It distinguishes itself from sibling get_* tools by focusing on subscription-specific information such as effectiveTier vs subscribed planTier.

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?

The description provides a prerequisite ('Requires organization context') and clarifies the read-only nature, but does not explicitly name alternative tools or conditions for when to choose this tool over siblings. The purpose is specific enough that usage is clear, though explicit differentiation is absent.

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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TDQS

A3.9/5.0
Disambiguation4/5

The tools are mostly distinct with clear descriptions. Some pairs like get_header_policies vs get_resolved_headers or get_environment_verification vs get_monitoring_sync_status could be slightly confusing, but the descriptions clarify scope and purpose.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, manage_, etc.). Even the few bare verbs like 'search' and 'set_context' are consistent with the naming scheme.

Tool Count1/5

With 165 tools, the server is extremely heavy. This far exceeds the 'too many' threshold of 25+, making it difficult for an agent to navigate and select the right tool efficiently.

Completeness5/5

The tool surface covers a very broad API lifecycle domain: specs, environments, test cases, monitors, mock servers, security, governance, documentation, and team management. Read and write operations are present across most areas, with no obvious missing core functionality.

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