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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the key transformations (lowercase, dashes, ascii), which is valuable, but it does not detail edge cases such as handling of spaces, punctuation, or Unicode input. This is a moderate level of transparency for a simple transformation tool.

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, succinct sentence with zero waste. It front-loads the action and includes essential transformation details in parentheses. This is an ideal length for a simple utility tool.

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 tool with one parameter, an output schema, and no annotations, the description is nearly complete. It explains the core transformation and does not need to describe return values because the output schema exists. Minor gaps like edge-case handling could be added, but for its simplicity, the description is adequate.

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?

The schema has 0% description coverage, so the description must compensate. However, the description merely refers to 'text' without adding constraints or format details beyond what the parameter name implies. It does not explain expected input format, length limits, or how special characters are treated. The description adds minimal semantic value beyond the schema.

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 clearly states the verb 'Slugify' and the resource 'text', and specifies the transformation (lowercase, dashes, ascii). This distinguishes it from sibling tools like case_convert or url_encode, which have different purposes. The purpose is unambiguous and specific.

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 explicit guidance is given about when to use this tool versus alternatives, nor any exclusions. The context implies it is for generating URL-friendly slugs, but this is not stated. The tool's unique name and description make usage somewhat obvious, but the dimension requires more explicit direction for a higher score.

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