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

Annotations already declare this read-only, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new behavioral context: output survives paste into LinkedIn, and styled letters can be read poorly by screen readers – an important accessibility caveat an agent would otherwise miss. It does not state the return shape, but no output schema exists so a small gap remains.

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 tightly written sentences with zero waste: purpose and output behavior first, the caution second. Nothing is repeated from the schema or annotations.

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?

For a two-parameter, read-only text transform with full schema coverage and annotations, the description covers what the tool produces and the main risk. Minor omissions are that it does not say it returns a plain string or warn about length limits, but nothing an agent needs in order to call it correctly is missing.

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%, and the enum documents all 14 styles plus a default, so the schema does the heavy lifting. The description's list (bold, italic, bold italic, serif, cursive, strikethrough, underline) only loosely maps to the exact enum values and adds no format-level detail beyond 'short piece of text'. Baseline 3 is appropriate.

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?

States a specific verb ('Restyle') and resource ('a short piece of text') and explains the effect: Unicode letters that keep their look when pasted into LinkedIn. It names the style families, so its difference from sibling post-level tools is implicit, but it never explicitly contrasts itself with format_linkedin_post or preview_linkedin_post.

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?

'Use sparingly' is real usage guidance, and the LinkedIn-paste context implies when the tool applies. But there is no explicit when-not clause, no mention of the alternative of plain text, and no routing to siblings such as format_linkedin_post for post-level formatting.

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