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opointo

List components

list_components
Read-onlyIdempotent

Lists the shipped @opointo/ui components: slug, purpose, category, and which render the real iOS system control versus our own component. Cheap, and a good first call. Optional filters: category and tech.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
techNo
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, and non-destructive behavior, so the description only needs to add context. It adds cost/latency ('Cheap'), output content (system vs. custom components), and the closed 'shipped' scope, which goes beyond the structured annotations without contradicting them.

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?

Three sentences: purpose/fields, cost/usage context, and filter parameters. Everything earns its place and the core action 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?

For a simple list tool with two optional enum params, no required arguments, and no output schema, the description is complete: it states what is returned, that filtering exists, and that it's cheap. Nothing essential for a correct first call is missing.

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?

Schema description coverage is 0%, so the description carries the burden. It says both parameters are optional filters and relates tech to the iOS-system-vs-own-component distinction, but it does not explain what category/tech values mean or how the filters affect results; the enums remain underspecified.

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 opens with a specific verb and resource: 'Lists the shipped @opointo/ui components,' and names the returned fields (slug, purpose, category, rendering implementation). It is clear and informative, but it does not explicitly differentiate itself from siblings like get_component or find_component, relying on the list-all framing to separate them.

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?

It gives clear usage context with 'Cheap, and a good first call,' signaling when an agent should reach for it early in a workflow. It doesn't name alternatives or state when not to use it, so it falls short of a full when/when-not comparison.

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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