Skip to main content
Glama

Get License Tier

get_license_tier

Retrieve the LoreDocs license tier and status to verify whether a valid Pro key is loaded. Provides mode, expiry, customer email, and upgrade URL.

Instructions

Return the current LoreDocs license tier and status.

Use this to confirm whether the Pro license key is loaded and valid.

Returns a dict with keys: is_pro -- bool, True if Pro tier is active mode -- "licensed" | "dev_bypass" | "free" | "invalid_key" product -- product name from the license payload (if licensed) exp -- expiry date or "never" (if licensed) email -- customer email (if licensed and present) error -- error message (if mode is "invalid_key") upgrade_url -- Stripe checkout link (present when not already Pro)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description takes on the full burden of behavioral disclosure. It thoroughly explains the return dict and all possible modes, including error handling and upgrade_url. While it doesn't explicitly state 'this is read-only', the consistent 'Return' language and lack of side-effect indications make the behavior sufficiently transparent.

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?

The description is concise and excellently structured. It opens with a clear purpose, includes a usage note, and lists return keys in a readable format. Every sentence and line adds value, and the organization makes it easy to scan.

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 zero-parameter tool with no output schema, the description is complete: it specifies the exact return dict, explains each key's meaning, and covers error scenarios. It also provides usage context, making it fully self-contained.

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?

The tool has zero parameters, which sets a baseline of 4. The description adds no parameter information because there are none, which is appropriate. The return structure is described instead, but that's covered under other dimensions.

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 the action and resource: 'Return the current LoreDocs license tier and status.' It also specifies a key use case: 'confirm whether the Pro license key is loaded and valid.' However, it does not explicitly differentiate this tool from sibling tools like vault_tier_status, so it doesn't earn a 5.

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 provides a direct usage instruction: 'Use this to confirm whether the Pro license key is loaded and valid.' This gives clear contextual guidance for when to use the tool. It does not mention alternatives or when not to use it, which prevents a higher score.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/labyrinth-analytics/loredocs'

If you have feedback or need assistance with the MCP directory API, please join our Discord server