academy_review
Retrieve all spaced-repetition items scheduled for today's review to reinforce learning retention.
Instructions
List spaced-repetition items due today. (Requires sign-in.)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all spaced-repetition items scheduled for today's review to reinforce learning retention.
List spaced-repetition items due today. (Requires sign-in.)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the sign-in requirement and the read-only nature implied by 'List,' but it does not specify what happens if not signed in or whether any state is modified. This is minimal but adequate for a simple listing tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, consisting of two short sentences with no wasted words. It is front-loaded with the primary purpose and adds one essential constraint.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no params, no output schema, no nested objects), the description is sufficient to understand its function. It could mention output details but none are critical for a list operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so the description does not need to explain parameter semantics. Per the guidelines, zero parameters warrant a baseline score of 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('List') and resource ('spaced-repetition items due today'), which effectively distinguishes it from sibling tools like academy_quiz and academy_review_grade.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, nor any conditions or exclusions. The only usage note is 'Requires sign-in,' which is a prerequisite but not a comparative guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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'
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