Slugify

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 clearly states the transformation outcome and implies a pure, non-destructive text operation. It does not detail edge-case behavior such as handling of special characters or non-ASCII text, but for a single-input utility this is minimally adequate.

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 concise sentence with no filler. The action and target output are front-loaded, and every word contributes meaning, making it appropriately sized for a one-parameter utility.

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 simple tool with one required parameter and no output schema, the description is sufficient for an agent to select and invoke it correctly. A brief example or explicit slug-format rule would improve completeness, but nothing essential 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 input schema already fully describes the only parameter ('text'). The description adds no additional meaning beyond what the schema provides, so the baseline score of 3 applies.

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 uses a specific verb ('convert') and a specific resource ('text into a URL-friendly slug'), making the tool's purpose immediately clear. It also distinguishes it from sibling text utilities like base64, hash, and uuid by specifying the unique output format.

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 implies when to use the tool: whenever a URL-friendly slug is needed from arbitrary text. However, it provides no explicit guidance on when not to use it or how it compares to sibling tools, so the usage context must be inferred.

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