list_cards
List all flashcard cards in the local study app to review and manage your study material.
Instructions
Local study app tool
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all flashcard cards in the local study app to review and manage your study material.
Local study app tool
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits, but it says nothing about side effects, permissions, return values, or even what operation is performed. 'Local study app tool' gives no behavioral insight.
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 only four words, which is too brief to convey necessary information. Conciseness without substance is under-specification.
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 large set of sibling tools, the description provides no context to differentiate list_cards from similar tools like list_decks or get_due_cards. It is completely inadequate for an agent to choose appropriately.
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?
While there are 0 parameters (baseline 4), the description fails to add meaning beyond the tool name. It does not explain what cards are listed or under what scope, so the baseline is not justified.
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' is extremely vague and essentially restates the tool name without specifying what it does. It does not indicate the action (list) or the resource (cards), and it fails to distinguish from siblings like list_decks.
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 is provided on when to use this tool versus alternatives such as get_due_cards or create_flashcard. There are no prerequisites, context hints, or exclusion statements.
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/resace3/mcp-local-study-app'
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