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skill_list

List all available skills and their descriptions. Browsing skills helps identify relevant capabilities for data visualization and dashboard tasks.

Instructions

List all available skills with descriptions (~8 skills).

Use skill_get to retrieve the full content of a specific skill.

Returns

list[dict[str, str]]: Skills with 'name' and 'description' keys.
    Names are in hyphenated format (e.g., "panel-material-ui", "panel-custom-components").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses return format (list of dicts with 'name' and 'description'), the hyphenated name format, and an approximate count (~8 skills). This is adequate for a simple read tool, though it omits details like ordering or caching.

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?

Very concise: two short sentences plus a structured return description. No redundant information, and key guidance is front-loaded.

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?

Given the tool's simplicity (no parameters, returns a small list), the description covers purpose, alternative usage, and output format completely. No gaps remain.

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?

No input parameters exist (schema is empty). Baseline is 4 per rules. The description adds value by defining the output format, which indirectly helps agent understand the tool's behavior even though no parameters are involved.

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 verb 'List' and the resource 'skills'. It distinguishes from sibling tool 'skill_get' by noting that skill_list provides a listing while skill_get retrieves full content.

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

Usage Guidelines5/5

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

Explicitly says to use skill_get for full content, providing clear when-to-use guidance and an alternative. This helps the agent choose correctly.

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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