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toggle_autolearning

Enable or disable AI auto-learning to control automatic learning behavior.

Instructions

Activar/desactivar auto-learning — Activa o desactiva el aprendizaje automatico de la IA [mutation]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
autolearning_enabledYestrue para activar, false para desactivar
Behavior3/5

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

Description includes '[mutation]' hinting at state change, but with no annotations, it does not explicitly disclose side effects, permissions, or behavioral details beyond the basic toggling action.

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?

Extremely concise: two lines with a title and full description. No redundant information.

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 simple boolean toggle with one parameter and no output schema, the description fully covers the tool's purpose and effect.

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

Parameters3/5

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

Schema description coverage is 100% with parameter explanation. Description adds no additional meaning beyond the schema, so baseline of 3 is appropriate.

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?

Description clearly states the tool toggles auto-learning, specifying both activation and deactivation. It distinguishes from other toggle tools by naming the specific resource 'auto-learning'.

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 (e.g., other toggle tools). Missing when to enable or disable auto-learning.

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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