Skip to main content
Glama

academy_levels

View available learning levels with access details to track your progress in the Memory-First AI Operator curriculum. Shows which levels you can access and your earn-access status.

Instructions

List all 6 levels with access info (free / paid / earned). Shows which levels you can access right now and your earn-access progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool lists levels with access types and shows current access status and progress, which is useful behavioral context. However, it doesn't mention potential limitations like rate limits, authentication requirements, or whether the data is cached/real-time.

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 a single, well-structured sentence that efficiently conveys the tool's purpose and key features. Every word earns its place, with no redundant or vague language.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no parameters, no annotations, and no output schema, the description provides adequate context about what information is returned (levels with access types and current status). However, it doesn't explain the format of the returned data or potential error conditions, leaving some gaps in completeness.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately focuses on what the tool does rather than parameters. A baseline of 4 is applied since there are no parameters to document.

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 specific action ('List all 6 levels') and resource ('academy levels'), including what information is provided ('with access info (free / paid / earned)'). It distinguishes this tool from siblings by focusing on levels rather than certificates, lessons, quizzes, or progress tracking.

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 clear context for when to use this tool: to see all academy levels and your current access status. However, it doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools (e.g., when to use academy_lessons vs. academy_levels).

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/studiomeyer-io/mcp-academy'

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