Slugify

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering safety. The description adds behavioral detail beyond annotations by specifying transliteration of accents and collapsing of separators, which gives the agent insight into how the transformation works. It does not contradict the annotations.

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 two sentences and front-loaded with the core functionality. The first sentence is essential and clear. The second sentence provides a web link, which is extra but not verbose. It is appropriately concise, though the link could be considered non-essential for an AI agent.

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 relatively simple, and the schema provides parameters with defaults and enums. However, the description lacks explanation of how 'maxLength' and 'separator' affect the output. While an agent might infer from the schema, the description does not clarify truncation or separator customization. Overall, it is adequate but with clear 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?

Schema description coverage is 0%, meaning the schema provides no textual descriptions for parameters. The description must compensate but does not. It mentions nothing about 'text', 'maxLength', or 'separator'. While the schema defines types, defaults, and enums, the description adds no semantic explanation, leaving agents to infer behavior from names alone.

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 tool's function: 'Turn text into a URL-safe slug, transliterating accents and collapsing separators.' This is a specific verb+resource with concrete transformation details. It does not explicitly name sibling tools or differentiate itself, but the purpose is unambiguous and distinct from the listed siblings.

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 guidance on when to use this tool versus alternatives. The description does not mention any use cases, conditions, or exclusions. It simply describes the operation without context, so an agent has no explicit direction on when to choose slugify over other transformation tools.

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