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Get Storage Usage

get_storage_usage
Read-onlyIdempotent

Returns the storage pool snapshot (used, limit and remaining bytes) for the personal scope or a group — data slots and uploaded assets share this quota; check before large set_data_slot or upload_asset writes. Pass slug to additionally scan which displays reference that data slot (do this before delete_data_slot to know which displays would break). Narrowly-scoped API keys get suppressed=true with zeroed numbers. Requires content scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoOptional data-slot slug: also report which displays reference it (slotUsage).
group_idNoGroup/organization ID for the group pool. Omit for the personal pool.
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
scopeNo
groupIdNo
slotUsageNo
usedBytesNo
limitBytesNo
suppressedNo
remainingBytesNo

TDQS

A4.9/5.0
Behavior5/5

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

Disclosures beyond annotations: quota sharing between data slots and assets, return fields, optional slug behavior for display references, and suppressed=true for narrow API keys. All consistent with readOnlyHint and idempotentHint 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, front-loaded with main purpose, no redundancy. Each sentence provides distinct, valuable information without wasted words.

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 4 parameters, no required params, and an output schema (implied), the description covers returns, use cases, side conditions, and prerequisites (content scope). Complete for an agent to select and invoke correctly.

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 coverage is 100%, so baseline 3. Description adds meaning: slug also returns which displays reference it (slotUsage) and advises using it before deletions; group_id indicates group vs. personal pool. Adds value beyond schema for key parameters.

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 returns a storage pool snapshot (used, limit, remaining bytes) for personal or group scope, and distinguishes from siblings by specifying its role before large writes or deletions. The verb 'Returns' and resource 'storage pool snapshot' are specific.

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?

Explicitly advises when to use: 'check before large set_data_slot or upload_asset writes' and 'do this before delete_data_slot to know which displays would break'. It also notes conditions like suppressed results for narrow API keys and required content scope.

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.

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