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Eduvent

Anki Card Manager (acm)

by Eduvent

acm_stats

Get statistics of processed Anki cards, showing counts for inserted, possible duplicates, and rejected actions to track card management results.

Instructions

Muestra estadísticas del registro de tarjetas procesadas.

Returns: JSON con conteo por acción (insert, possible_duplicate, reject) y total.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the return format but does not disclose if the operation is read-only, requires authentication, or has any side effects. For a read-only statistics tool, stating it is non-destructive would add value.

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

Conciseness5/5

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

The description is extremely concise with two sentences, no fluff, and the most important information (what it does and what it returns) is front-loaded. Every word earns its place.

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

Completeness4/5

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

Given there are no parameters and an output schema exists (context signals), the description adequately explains the return value. It could be more complete by describing the meaning of the actions, but for a simple stats tool it is sufficient.

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?

There are no parameters, so the input schema is fully covered. The description adds value by specifying the output structure (JSON with counts by action and total), which is not detailed in the schema. According to calibration, 0 parameters baseline is 4, and the description meets this.

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

Purpose5/5

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

The description clearly states the tool shows statistics of processed cards, using a specific verb ('Muestra') and resource ('registro de tarjetas procesadas'). It is clearly distinct from sibling tools like acm_annotate or acm_ingest, which perform different actions.

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?

No guidance on when to use this tool versus alternatives is provided. The description only states what it does without any context on prerequisites, limitations, or exclusions.

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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