Skip to main content
Glama
mxmauro

skeleton-svelte-mcp

by mxmauro

Get Svelte-oriented Skeleton guidance

skeleton_svelte_guidance

Find official Skeleton documentation for a Svelte UI task and get implementation-oriented excerpts, avoiding unverified APIs. Describes a UI task to receive relevant, actionable guidance.

Instructions

Finds the official Skeleton documentation most relevant to a Svelte UI task and returns implementation-oriented excerpts. This does not generate unverified APIs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesDescribe the UI task, e.g. "accessible modal with controlled open state"

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.1

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully states that the tool returns excerpts from official documentation and explicitly says it 'does not generate unverified APIs,' which sets accurate expectations about output reliability. It does not mention potential limitations such as excerpt length or search freshness, but the provided traits are meaningful.

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?

Two concise sentences with no filler. The core behavior is front-loaded, and the negative guarantee about not generating unverified APIs is a valuable, compact addition.

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 one-parameter tool, the description covers what it does and what it returns (implementation-oriented excerpts). There is no output schema, but the description partially compensates by describing the return type. However, it could benefit from clarifying the exact form of the excerpts or what to do when no relevant documentation is found.

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 single 'task' parameter is fully covered by the schema, including an example. The description adds no parameter-specific detail beyond the schema, so the baseline score of 3 applies.

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 clearly states the tool's verb ('Finds'), resource ('official Skeleton documentation'), and intended scope ('most relevant to a Svelte UI task'). It distinguishes itself by emphasizing Svelte-orientation and implementation excerpts, though it does not explicitly contrast with its siblings.

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 intended use is implied: for Svelte UI tasks needing relevant official documentation excerpts. However, there is no explicit guidance about when to prefer this tool over search_skeleton_docs or get_skeleton_section, and no exclusions or alternative conditions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mxmauro/mcp-skeleton-dev'

If you have feedback or need assistance with the MCP directory API, please join our Discord server