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text-slugifier

text_slugifier

text_slugifier

Converts text titles into URL-safe slugs and flags duplicates. x402 payment required (testnet USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titlesYesText titles to slugify
paymentNox402 payment payload (base64 JSON), signed EIP-712 exact/transferWithAuthorization. Omit on the first call — the tool will return payment requirements (accepts[]) as an error result.
maxLengthNoTruncate slugs longer than this (default 80)

TDQS

A4.1/5.0
Behavior4/5

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 explicitly discloses the x402 payment requirement and the fact that it flags duplicates, which are meaningful behavioral traits beyond the tool name. It doesn't detail error behavior, but the payment payload schema description already covers the first-call error flow.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, dense sentence with no filler. The core action is front-loaded, followed by the essential payment caveat. Every word contributes useful information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool, the description plus schema cover the input parameters and payment workflow. However, there is no output schema and the description does not explain what the return value looks like or how duplicates are flagged, leaving some uncertainty for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline of 3 applies. The description adds no parameter-level detail beyond what the schema already states, but the schema already documents titles, payment, and maxLength adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Converts text titles into URL-safe slugs and flags duplicates.' This clearly states the tool's function and outcome. Even without siblings, the purpose is unambiguous and distinct from the generic title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is clear: slugify text titles and flag duplicates. There are no sibling tools or exclusions to mention, so the absence of alternatives is not a gap. The x402 payment requirement also signals the operational context for using the tool.

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

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TDQS

A4.2/5.0
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion or overlap. The tool's purpose is singular and clearly described.

Naming Consistency5/5

With a single tool, naming consistency is trivially satisfied. The name text_slugifier is descriptive and matches the server's purpose, using snake_case consistently.

Tool Count3/5

A single tool is borderline for a purpose-built server; it feels thin even though the scope is narrow. The tool does one thing well, but the server offers no auxiliary operations.

Completeness4/5

The core slugification operation is covered, including duplicate flagging. Minor gaps such as configurable slug separators or batch processing would make it more complete, but the essential functionality is present.

Resources