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

With no annotations, the description carries the full burden. It does disclose two real behavioral traits — accent stripping and per-call cost ($0.003, USDC on Base) — which is genuinely beyond the schema. However it is silent on what maxLength actually does (truncate, word-boundary trim, or error), how the separator interacts with existing punctuation, and what the return value looks like.

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?

A single sentence that front-loads the core action and packs the two modifying behaviors plus pricing into one readable clause. No filler, no repetition of the tool name.

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?

No output schema and no annotations mean the description is the only source of behavioral context, and for a four-parameter tool it leaves gaps: the effect of maxLength on output shaping, separator interaction, and the return type. It is adequate for a simple deterministic transform, but not complete.

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 50%: 'lowercase' and 'separator' only carry default hints, while 'text' and 'maxLength' have no schema description at all. The description compensates for maxLength's semantics ('optional length limit') and covers the accent-stripping behavior tied to text, but says nothing about lowercase or separator, leaving the 3-baseline appropriate rather than exceeded.

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 concrete verb and resource ('Convert a title into a clean URL slug') plus two specific behaviors: accent stripping and an optional length limit. That is enough for an agent to know exactly what comes out, though it never distinguishes itself from the closest neighbor, tk_unicodeNormalize, which also touches accent/diacritic handling.

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?

There is no when-to-use or when-not-to-use guidance; the input type ('a title') is the only implicit cue about context. No alternative tool is named, and nothing tells the agent how this differs from tk_unicodeNormalize or tk_homoglyphFold for text-mangling tasks.

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