slugify_text

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

No annotations are provided, so the description must disclose behavior. It mentions the $0.001 USDC cost, which is useful operational context, but it does not explain the transformation behavior (e.g., how spaces, case, or special characters are handled) or the return format. This is a significant gap for a tool with no annotation safety profile.

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 extremely concise, using a single sentence to convey the operation, category, and cost. It is front-loaded and contains no fluff, though the 'Text & Encoding tool' phrase is somewhat redundant with the name.

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?

Given the tool's simple function and the absence of an output schema, the description is under-specified. It fails to tell the agent what input to provide, what the output looks like, or how it differs from many similar sibling text tools. The cost mention is helpful but does not make the description complete enough for correct invocation.

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 only defines a generic 'params' object with no properties, and the description adds no parameter details. The agent cannot determine that the tool expects something like a 'text' field or how to structure the input. Despite the schema coverage being listed as 100%, the description is generic and does not compensate for the lack of concrete parameter semantics.

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 via the verb 'slugify' and the resource 'text', and the category 'Text & Encoding tool' provides context. It distinguishes itself from sibling tools by naming a specific transformation operation, though it does not elaborate on what slugification entails (e.g., lowercasing, hyphenation).

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 given on when to use this tool versus alternatives, such as normalize_text or convert_case. The description only provides a category label and pricing, with no mention of prerequisites, exclusions, or comparison to similar text manipulation tools.

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