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ai_cloud_sync

Synchronize cloud assets to your workspace in mirror mode, with optional local-to-cloud push for updates.

Instructions

Sincroniza cloud → workspace en modo espejo (por defecto). Opcionalmente permite push local → cloud.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
dry_runNoSi True, muestra qué se haría sin ejecutar
pushNoSi True, también hace push de cambios locales antes del pull espejo.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It indicates a mirror sync (cloud→workspace) and optional push, but fails to explain what 'mirror mode' entails (e.g., conflict resolution, whether it overwrites files, safe to cancel). The description omits critical behavioral context for a sync operation, making it insufficient for safe use.

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 consists of two concise sentences, front-loading the default behavior. It avoids redundancy and wastes no words. However, it could be slightly more precise (e.g., defining 'modo espejo') without adding length. Overall, it is well-structured and 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?

Given the tool has 3 parameters, no output schema, and no annotations, the description is too brief. It lacks details on return values, error handling, behavior when no workspace is specified, and what happens to local files. For a sync operation, more completeness is needed to ensure safe invocation.

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?

The input schema covers 2 of 3 parameters with descriptions (dry_run, push). The description adds context for the push parameter by linking it to the optional local-to-cloud sync. However, the workspace parameter has no description in either schema or description, reducing overall semantic value. With 67% schema coverage, the description partially compensates but leaves gaps.

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 states it syncs cloud to workspace in mirror mode by default, with optional local push. This clearly identifies the tool's primary action and distinguishes it from siblings like ai_cloud_pull and ai_cloud_push. However, the description is in Spanish, which may reduce clarity for English-speaking agents.

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

Usage Guidelines3/5

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

The description implies this tool is for default mirror sync from cloud to workspace, with optional push. It provides context on default behavior but does not explicitly state when to use this tool versus alternatives like ai_cloud_pull (for one-way pull) or ai_cloud_push (for one-way push). No exclusion criteria or prerequisites 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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