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Glama

Fetch Resource

fetch
Read-onlyIdempotent

Fetches one agentView resource by agentview:// URI, e.g. agentview://public/status, agentview://account/me or agentview://display/ABCD1234. Use after search or with a known URI. Public URIs need no auth; account and display URIs need a session. Returns uri, type, title, text and structured data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uriYesThe resource URI to fetch. Must use the agentview:// scheme. Examples: 'agentview://public/status', 'agentview://account/me', 'agentview://display/ABCD1234'.
session_request_idNoSession handle from create_auth_session; pass it on every authenticated call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
uriNo
dataNo
textNo
typeNo
titleNo

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already mark this as read-only, idempotent, and non-destructive. The description adds behavioral context beyond that: public URIs require no auth while account and display URIs require a session, and it summarizes the return shape. No contradictions 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, with the core operation front-loaded, followed by usage direction, auth note, and return summary. Every sentence carries information without padding.

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 two-parameter fetch tool with an output schema and read-only/idempotent annotations, the description covers when to use it, authentication requirements, and what is returned. Nothing essential is missing for an agent to invoke it correctly.

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 coverage is 100%, so the baseline is 3; the description mostly restates the uri examples already in the schema. It adds only mild context that account/display URIs need a session, linking session_request_id to authenticated calls.

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?

The description clearly identifies a specific verb ('Fetches'), a resource class ('agentView resource'), and the URI scheme with concrete examples. It does not explicitly distinguish this generic fetch from sibling get_* tools, so it misses full sibling differentiation.

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?

States when to use it ('Use after search or with a known URI') and gives auth preconditions by URI category. It does not name excluded alternatives or say when to prefer the sibling get_* tools, stopping short of a 5.

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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