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Glama

Get Account

get_account
Read-onlyIdempotent

Returns the user's account profile: plan and features, personal display limits and remaining quota, accessible display count, organization memberships and points balance. Use for subscription, quota and membership questions. Not for listing displays (use list_displays). Requires content scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
access_tokenNoOptional bearer token; prefer session_request_id.
session_request_idNoSession handle from create_auth_session; pass it on every authenticated call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hintNo
nameNo
planNo
emailNo
pointsNo
userIdNo
maxDisplaysNo
planFeaturesNo
organizationsNo
currentDisplaysNo
authenticatedViaNo
organizationCountNo
remainingDisplaysNo
maxPersonalDisplaysNo
currentPersonalDisplaysNo
totalAccessibleDisplaysNo
remainingPersonalDisplaysNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds a useful extra behavioral constraint: 'Requires content scope,' which is authentication/permission context not present in the annotations. No contradiction with annotations.

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?

Three sentences, each earning its place: what it returns, when to use it, and the explicit exclusion. The description is front-loaded with the resource and output content, and has no filler.

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?

With annotations covering the safety profile, an output schema covering return structure, and the description covering scope, usage context, and sibling differentiation, nothing an agent needs to invoke it correctly 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% for both parameters, so the schema already fully documents them. The description adds no parameter-specific meaning beyond noting an auth scope requirement, which is not tied to a specific parameter.

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 names a specific verb ('Returns'), a clear resource ('the user's account profile'), and enumerates the data returned (plan, quota, memberships, points). It also explicitly distinguishes itself from list_displays, so an agent can disambiguate among siblings.

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

Usage Guidelines5/5

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

States exactly when to use it ('for subscription, quota and membership questions') and when not to ('Not for listing displays'), naming the alternative tool. This is explicit, actionable routing guidance.

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

A4/5.0
Disambiguation4/5

Most tools map cleanly to distinct resource-action pairs (displays, organizations, assets, data slots, store templates, auth). A few clusters like the get_store_template_* family and the auth/session tools could still confuse an agent, but their descriptions are explicit enough to separate them.

Naming Consistency4/5

The dominant pattern is consistent verb_noun snake_case (list_*, get_*, create_*, delete_*, send_*, set_*, manage_*). Deviations like fetch, search, authenticate, logout, and pair_by_code are understandable but break the otherwise uniform naming scheme.

Tool Count1/5

With 57 tools this server far exceeds the 50+ threshold, creating an extreme tool-set size for an MCP server. Even though the underlying platform is feature-rich, the sheer number of tools heavily taxes context and selection.

Completeness4/5

The surface covers display, organization, asset, data slot, store template, auth, API key, and licensing lifecycles in impressive depth. Minor gaps exist, such as no delete operation for display categories and no reboot/power control for displays.

Resources