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debnath-d

Anki Model Context Protocol (MCP) Server

by debnath-d

add_notes_batch

Add multiple Anki flashcards from a JSON file in one high-throughput batch operation.

Instructions

Add multiple flashcard notes in a single high-throughput batch operation from a JSON file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_fileYes
output_fileNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions that the operation is batch and reads from a JSON file, but does not disclose outcome, error handling, validation rules, side effects, or any performance characteristics beyond 'high-throughput'. This is a significant gap for a mutation tool.

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?

The description is a single, concise sentence that is front-loaded with the primary action and object. It is appropriately short and to the point, with no redundant or filler language. Slightly more detail on input format would not violate conciseness, but the current structure is efficient.

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

Completeness2/5

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

For a batch operation with an output schema and two parameters, the description is incomplete. It does not specify the required JSON input structure, output behavior, error handling, or performance expectations. An agent cannot reliably prepare a valid call without additional context or examples.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It partially explains input_file as a 'JSON file' but does not clarify its expected format or contents. The output_file parameter is completely unexplained, leaving its purpose and default behavior ambiguous. The description adds minimal semantic value beyond the schema.

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?

The description clearly states the action ('Add'), resource ('multiple flashcard notes'), and the method ('from a JSON file'). It distinguishes from single-note tools like add_note implicitly by emphasizing 'multiple' and 'batch'. However, it does not explicitly name sibling tools, so it is clear but not maximally differentiating.

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?

The description gives no explicit guidance on when to use this tool versus add_note or add_cloze_note. 'High-throughput batch operation' implies use for many notes, but there is no explicit 'use this for bulk imports' or 'instead of add_note'. No alternatives or exclusions are mentioned.

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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