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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), so the description's job is to add context. It does: it discloses the credit cost ('Cost: 1 credit') and confirms the tool returns formatted text, which are traits absent from the annotations. It stops short of describing what happens on an unrecognized style or whether unknown styles error or fall back.

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?

Two efficient sentences that front-load the function and finish with cost. The only waste is the redundant 'Text Styler: Text Styler converts...' opening, which repeats the tool name twice before any substantive content.

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?

An output schema exists, so return values need no explanation, and the input schema fully documents both fields. The remaining gap is material: 'style' has no enum in the schema, so the description is the only source of valid values, and it offers four examples with 'like' rather than defining the accepted set. An agent may still guess an invalid style string.

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?

Schema coverage is 100%, so both parameters are already documented, which sets the baseline at 3. The description does add something the schema lacks, namely candidate values for the required 'style' parameter, but it presents them only as a loose 'like' list rather than an authoritative set. Net effect is roughly baseline-level added meaning.

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 names a specific verb and resource ('converts plain text into styled text formats') and gives four concrete style examples (bubble letters, strikethrough, typewriter, vaporwave), which makes the tool's function unambiguous. It does not, however, differentiate itself from adjacent text-transform siblings such as EmojiDecorator, LeetSpeak, or TitleCaseConverter, leaving the agent to infer the boundary.

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?

'Submit your string with a chosen style' describes invocation mechanics but gives no when-to-use guidance, no when-not-to-use condition, and no named alternative. Usage is only implied by the example style names. For a tool sitting among dozens of text-transformation siblings, an explicit routing hint would have earned a higher score.

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