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Anki Connect MCP Server

Anki Connect MCP Server

List note types

model_names
Read-onlyIdempotent

Returns all note type names in an Anki collection so you can choose the correct type when creating or managing flashcards.

Instructions

Returns the names of all models (note types), e.g. "Basic", "Basic (and reversed card)", "Cloze".

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered elsewhere. The description's only added context is what the returned values look like, which is modest but useful for interpreting output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no padding. The nested quoted examples make the phrasing slightly fussy, but nothing is wasted.

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

Completeness5/5

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

For a parameterless read that returns a flat list of names, the description plus annotations cover everything needed: what comes back, that it is safe and repeatable, and what the strings look like. No output schema exists, but the return value is described sufficiently.

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 tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline is 4. No parameter meaning is missing because none exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('returns the names of all models') and clarifies the domain-specific synonym by equating models with note types, plus concrete example values. It does not distinguish itself from the sibling model_names_and_ids, which a caller could easily confuse it with.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no mention of alternatives such as model_names_and_ids for callers who need IDs as well as names. Usage is only implied by the nature of the return value.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.