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health_check

Check that Fabric, yt-dlp, and other dependencies are installed and correctly configured. Get setup guidance when issues are found.

Instructions

Check if Fabric, yt-dlp, and other dependencies are installed and configured correctly. Provides installation instructions if needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 discloses that installation instructions may be provided, adding behavioral context. However, it does not describe the output format, whether it is read-only, or what happens if dependencies are missing beyond providing instructions.

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 a single, front-loaded sentence that efficiently conveys the tool's action and a key behavior (providing installation instructions). There is no redundant or filler content.

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?

For a simple, zero-parameter tool, the description is adequate: it states what is checked and that instructions may be provided. Since there is no output schema, it could have been more explicit about the exact return format, but the core context is covered.

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 has zero parameters, so the baseline is 4. The description correctly avoids parameter explanations, and there is no schema to compensate for, making this dimension unproblematic.

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's purpose with a specific verb ('check') and resource ('Fabric, yt-dlp, and other dependencies'). It also distinguishes itself from sibling tools, which are all content/analysis tools, by focusing on environment setup verification.

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 usage context (checking environment readiness) but does not explicitly mention when to use it over alternatives or exclude scenarios. No alternative tools are named, though the sibling list makes the diagnostic role clear.

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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