slugify

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

With no annotations, the description carries the full burden. It only states the general transformation but does not disclose expected behaviors like lowercasing, character replacement rules, or handling of non-ASCII characters. This leaves critical ambiguities for an agent deciding on output.

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, front-loaded sentence with no wasted words. It conveys the essential purpose efficiently and is appropriately sized for a simple 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?

The tool is simple with one parameter and no output schema, so the description and schema are largely adequate. However, lacking behavioral details (e.g., case normalization, character handling) makes it incomplete for an agent that needs to predict exact output, especially since no annotations exist to fill gaps.

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 input schema has 100% description coverage for the single 'text' parameter ('Text to slugify'). The description adds the context of 'URL-safe' but does not provide additional detail beyond what the schema already states, so it meets the baseline.

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 'Convert text to a URL-safe slug' uses a specific verb and resource, clearly stating the tool's function. It distinguishes from siblings because no other tool mentions slugification, and the term 'slug' is unambiguous.

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 guidance is provided on when to use this tool vs alternatives, nor any exclusions or prerequisites. While the purpose is clear, the description does not explicitly state context or mention alternatives such as convert_case or encode.

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