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Glama

The Quiet Protocol Growth Offense MCP

Get Resource

get_resource
Read-only

Fetch one free resource by slug, including download metadata when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesFree resource slug.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
slugYes
titleYes
apiUrlNo
toolIdYes
categoryNo
relatedKitNo
shortTitleNo
descriptionYes
downloadUrlNo
limitationsYes
methodologyYes
nextStepUrlYes
canonicalUrlYes
evidenceTypeYes
systemMappingYes
primaryAudienceNo
inputAssumptionsYes
canonicalPublicUrlYes
evidenceReferencesYes
evidenceClassificationYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds that download metadata is included 'when available', which is a specific behavioral detail about response content. This is useful context beyond the annotations, though it doesn't describe error handling or pagination (not needed for a single fetch).

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?

A single, front-loaded sentence that states the action, target, and additional detail (download metadata) without fluff. Every word earns its place.

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 low-complexity read-only operation with one well-documented parameter and an output schema (not shown but indicated), the description fully covers what an agent needs to call it correctly. It even adds the download metadata caveat, and the safety profile is already in annotations.

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% – the slug parameter is described as 'Free resource slug.' The description doesn't add any additional meaning about the parameter beyond what the schema provides. Per the baseline for high schema coverage, this is a 3.

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 states a specific verb ('Fetch') and resource ('one free resource') with an identifier ('by slug'). It clearly distinguishes from list_resources (which lists) and other get_* tools that target different resource types (e.g., get_kit, get_benchmark). The word 'one' clarifies it's a single-item operation.

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 gives clear context: use this to get a single free resource by slug. While it doesn't explicitly name alternatives or exclusions, the context ('one' and 'free resource') implies it is for individual fetches rather than listing or other resource types. This is sufficient for an agent to route correctly.

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

A3.5/5.0
Disambiguation4/5

Most tools have distinct purposes, with clear get/list/run patterns separating fetching, listing, and executing. A few tools like scan_ai_visibility and run_trust_stack_audit both scan websites but focus on different signals, so minor overlap exists but descriptions clarify boundaries.

Naming Consistency5/5

All 29 tools consistently use snake_case with verb_noun structure (get_, list_, run_, scan_, select_, find_, pricing_lookup). The naming convention is uniform and predictable, making it easy to infer tool behavior.

Tool Count2/5

With 29 tools, the server exceeds the typical comfortable range (16-25 is already heavy). While the domain is broad, the high count may overwhelm agents and increase selection complexity without clear benefit.

Completeness4/5

The server covers a comprehensive range of operations: listing, fetching, running diagnostics, scanning, and recommendations. It lacks CRUD operations, but as a read-only resource and diagnostic server, that's appropriate. Some minor gaps exist, but the core workflows are well covered.

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