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get_install_instructions

Get the canonical steps for installing petal_components in a Phoenix project. Call this when the user asks to install petal_components, when you are setting up a new Phoenix project that needs UI components, or when verifying an existing installation. Returns step-by-step instructions covering mix.exs, mix deps.get, Tailwind v4 CSS config, and the web module import. Steps are idempotent - safe to follow on a project that is partially configured.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the burden of disclosing behavior. It adds useful context by stating the steps cover mix.exs, deps.get, Tailwind v4 CSS config, and web module import, and that the steps are idempotent. This is solid transparency for an informational 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 concise and well-structured: purpose, usage triggers, content overview, and a safety property (idempotency). Every sentence adds value, with no fluff.

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 zero parameters, no output schema, and no annotations, the description is remarkably complete. It tells the agent what the tool does, when to use it, what it returns, and a key behavioral trait (idempotency).

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 does not need to explain parameter semantics, and the schema is trivially complete.

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: 'Get the canonical steps for installing petal_components in a Phoenix project.' It uses a specific verb and resource, and is distinct from sibling tools like get_component and list_components.

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

Usage Guidelines4/5

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

The description explicitly says when to call it: when the user asks to install petal_components, setting up a new Phoenix project needing UI components, or verifying an installation. This is clear context, though it does not mention alternatives or when not to use it, stopping short of a 5.

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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TDQS

A4.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: listing all components, getting details for a specific component, and providing installation instructions. There is no overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent imperative verb-noun pattern (get_component, list_components, get_install_instructions). The naming is uniform and predictable.

Tool Count5/5

With exactly 3 tools, the server is tightly scoped to its purpose of supporting petal_components usage. Each tool earns its place and the count is well within the ideal range.

Completeness5/5

The server covers the essential needs for working with petal_components: discovering components, understanding their schemas, and setting up the library. No critical gaps are apparent for the server's stated mission.