slugify

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals key transformations (whitespace, accents, special chars to dash; non-ASCII to ASCII) and sets expectations for output. It stops short of covering edge cases like case handling or duplicate dashes, but is sufficiently transparent for a pure transformation.

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 concise, two sentences, front-loaded with the core purpose. Every word contributes value with no filler or repetition.

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, but the mismatch between the description (implying a text input) and the empty schema prevents correct invocation. No output schema or return behavior is described, and there is no guidance on how the input is supplied, making the overall definition incomplete for an agent.

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 declares zero parameters, yet the description explicitly references 'text' as input. This creates ambiguity—the agent cannot determine how to provide the text. The description adds no parameter detail beyond implying an input, and the schema is empty, so no meaningful parameter semantics are conveyed.

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: transforming text into an ASCII slug for safe URLs. It details the transformation (replacing whitespace, accents, special chars with dashes) and distinguishes itself from sibling tools like cleandiacritics or clean_whitespace by explicitly targeting URL-safe slugs.

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 provides no explicit guidance on when to use this tool versus alternatives like cleandiacritics or replaceall. It implies usage for URL slug creation but does not mention exclusions or alternatives, leaving the agent to infer the appropriate context.

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