list_decks
Retrieve a complete list of all available Anki decks. Use this to view or select decks for study or card management.
Instructions
List all available decks in Anki
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a complete list of all available Anki decks. Use this to view or select decks for study or card management.
List all available decks in Anki
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It says nothing about return shape, whether subdecks are included, ordering, or whether the operation is read-only, though the verb 'list' weakly implies a safe read.
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?
A single short sentence with no waste and the resource front-loaded. It is efficient, though it is arguably under-specified rather than merely 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 and no output schema, the description should at least hint at what a caller gets back (deck names only? hierarchy?). For a trivial zero-parameter read tool this is a minor gap, but it leaves the return semantics entirely unspecified.
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?
The tool takes zero parameters, so there is no parameter meaning for the description to convey. Baseline 4 applies; the description does not need to compensate for any schema gap.
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?
Clear specific verb (list) plus resource (decks) with the domain qualifier (in Anki). However, it does not distinguish itself from siblings like get_deck_stats or create_deck, which could be confused given the deck-related family.
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?
There is no explicit when-to-use guidance, no mention of alternatives (e.g., get_deck_stats for per-deck metrics), and no preconditions. The agent must infer the use case from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.