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list_all_components

Retrieve all Material-UI React components from the official documentation database to browse available options and their properties.

Instructions

List all available MUI components in the database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('List all available MUI components') but doesn't describe key traits like whether this is a read-only operation, potential rate limits, authentication needs, or what the output format looks like (e.g., list structure, pagination). This is a significant gap for a tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly and understand the core functionality.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete for effective tool use. It doesn't explain behavioral aspects (e.g., safety, performance) or output details, which are critical for an agent to invoke the tool correctly. While the purpose is clear, the overall context is insufficient for a tool that likely returns a list of components.

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 0 parameters, and the schema description coverage is 100% (as there are no parameters to describe). The description doesn't need to add parameter details beyond what the schema provides, so it meets the baseline expectation for a parameterless tool without introducing confusion or redundancy.

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 verb ('List') and resource ('all available MUI components in the database'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'search_mui_components' or 'get_mui_component', which likely have overlapping functionality but different scopes or filtering capabilities.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'search_mui_components' or 'get_mui_component'. It lacks context about prerequisites, such as whether authentication is required, or any exclusions (e.g., not for filtered searches). This leaves the agent without clear direction for tool selection.

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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