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Get Component Full

get_component_full
Read-only

Aggregates HTML markup, CSS tokens, guidelines, component props, and GitHub issues for a single .italia component. Returns combined data from multiple sources.

Instructions

Aggregated response for a Design System .italia component: HTML markup + CSS tokens with resolved values + usage guidelines + library status + it-* web component props + open GitHub issues. Use only when you need data from multiple sources in a single response. For specific queries, prefer get_component, get_component_guidelines, get_component_tokens, or get_component_issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesComponent name or slug (e.g. "accordion", "Alert")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metaYes
nameYes
slugYes
devKitYes
statusYes
tokensYes
variantsYes
guidelinesYes
openIssuesYes
variantsCountYes
sources_availableYes
variantsAvailableYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, so no safety concerns. The description adds behavioral context by specifying that this tool aggregates data from multiple sources. No contradictions or missing critical behaviors for a read-only tool.

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 enumerates the tool's comprehensive response. Every piece of information is relevant and earns its place, with no wasted words.

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 presence of an output schema, the description does not need to detail return values. It covers purpose, usage guidelines, and behavioral aspects. With one parameter and clear annotations, it is fully adequate.

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?

Input schema has 100% description coverage for the single parameter 'name', including an example. The description does not add additional parameter semantics beyond what the schema already provides, so it meets the baseline.

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 returns an aggregated response for a Design System component, listing the included data types (HTML markup, CSS tokens, usage guidelines, etc.). It distinguishes from siblings by naming specific alternative tools for targeted queries.

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 states when to use this tool ('only when you need data from multiple sources in a single response') and when not to, providing a list of preferred alternatives (get_component, get_component_guidelines, etc.). This is exemplary guidance.

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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