get_mui_component

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves information, implying a read-only operation, but does not specify any behavioral traits such as error handling (e.g., what happens if the component name is invalid), performance characteristics, or data sources. The description is minimal and lacks context on how the tool behaves beyond its basic purpose.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that efficiently conveys the tool's purpose without unnecessary words. It is front-loaded with the main action ('Get detailed information') and specifies key details ('props, examples, and usage'). However, it could be slightly more structured by explicitly separating usage guidelines or behavioral notes, but it earns high marks for brevity and clarity.

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

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

Given the tool's low complexity (one parameter, no output schema, no annotations), the description is adequate but has gaps. It covers the basic purpose and what information is retrieved, but lacks guidance on usage relative to siblings and behavioral transparency. For a simple read tool, this is minimally viable, but improvements in guidelines and transparency would enhance completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with the single parameter 'component_name' documented as 'The name of the MUI component (e.g., Button, TextField, Card)'. The description adds no additional meaning beyond this, such as format constraints or examples of valid inputs. With high schema coverage, the baseline score of 3 is appropriate, as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('MUI component'), specifying what information is retrieved ('detailed information including props, examples, and usage'). However, it does not explicitly differentiate from sibling tools like 'search_mui_components' or 'list_all_components', which might also retrieve component information but with different scopes or formats.

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

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. It does not mention sibling tools like 'search_mui_components' (which might handle broader queries) or 'list_all_components' (which might list components without details), leaving the agent to infer usage based on tool names alone. There are no explicit when-to-use or when-not-to-use instructions.

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