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Glama

Get Asset

get_asset
Read-onlyIdempotent

Returns metadata for a single asset including its URL. Use this to verify an asset still exists before referencing it in HTML. Requires authentication with at least content_only scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_idYesThe asset ID (e.g. 'ast_01H7KXZ...').
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
urlNo
nameNo
assetIdNo
mimeTypeNo
createdAtNo
sizeBytesNo
descriptionNo

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds an actionable auth requirement ('at least content_only scope') and mentions the URL in the response. 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 short sentences, each earning its place: what the tool returns, when to use it, and what authentication is needed. No fluff or repetition.

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?

For a simple read-only lookup tool, the description covers purpose, usage, auth, and return content. An output schema exists, so return-value details are already available to the agent.

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%, with asset_id, access_token, and session_request_id all documented in the schema. The description itself does not add param-level detail, so a baseline of 3 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?

States a specific verb and resource: 'Returns metadata for a single asset including its URL.' This clearly differentiates it from sibling tools like list_assets, update_asset, delete_asset, and upload_asset.

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?

Gives a clear use case: 'Use this to verify an asset still exists before referencing it in HTML.' It does not explicitly name alternatives or exclusion conditions, but the context is clear for a single-asset lookup.

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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