slugify

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

With no annotations, the description carries the full behavioral burden and discloses almost nothing beyond the transformation itself. It does not say how non-ASCII/unicode characters are handled (transliteration vs. stripping), whether case is lowercased, how whitespace and repeated separators collapse, or whether length is capped — all decisions that change the output meaningfully.

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 front-loaded sentence with no filler and no repetition of the tool name. It is efficient, though so terse that it leaves no room for the behavioral detail this tool actually needs.

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?

The tool is simple (one string in, no output schema, no nesting), so a short description is defensible and return-value explanation is not required. However, the unspecified normalization rules — unicode handling, casing, separator behavior — are exactly the details an agent needs to predict the result, and they are absent.

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?

There is one required parameter with 0% schema description coverage, so the schema contributes no meaning. The description implies the parameter is the source text to be converted, which is a marginal gain, but it adds no format, encoding, or length expectations for the input.

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 states a specific verb ('Turn') and a precise output artifact ('URL-safe slug'), which is materially different from siblings like url_encode or case_convert. It stops short of explicitly contrasting with those siblings, so it is clear but not fully differentiated.

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?

No when-to-use, when-not-to-use, or alternative is named. For a narrow utility the intent is largely implied by the term 'slug', but an agent must infer that this is the right choice over case_convert or url_encode rather than being told.

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