create_deck
Create a flashcard deck to organize study materials. Add cards and quizzes to reinforce learning.
Instructions
Local study app tool
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Create a flashcard deck to organize study materials. Add cards and quizzes to reinforce learning.
Local study app tool
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description gives no behavioral details (e.g., side effects, auth needs, or return values). The tool name suggests creation, but no explicit disclosure.
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?
Extremely short but lacks useful information. It is under-specified rather than concise.
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?
With no annotations, no output schema, and a minimal description, the tool is completely under-documented. An agent cannot deduce what creating a deck entails.
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?
There are zero parameters, so the empty schema is fully covered. The description adds no extra meaning, but baseline 4 is appropriate per guidelines for 0-param tools.
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 'Local study app tool' does not state the action (create) or resource (deck). It is vague and does not distinguish from sibling tools like list_decks or update_deck.
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?
No guidance on when to use this tool versus alternatives. Sibling tools imply different use cases, but the description offers no context.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/resace3/mcp-local-study-app'
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