x402-is-slug
Is Slug: Check whether a string is a URL slug: lowercase alphanumeric words joined by single hyphens. Provide value. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| value | No |
Is Slug: Check whether a string is a URL slug: lowercase alphanumeric words joined by single hyphens. Provide value. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| value | No |
Changes observed during successful MCP inspections.
Input schema / properties / value / descriptionRemoved value: -"Value to process"Input schema / properties / valueAdded value: +{
+ "description": "Value to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description must carry behavioral weight. It correctly conveys that this is a read-only predicate rather than a mutation, and it adds the pricing context (5 free trial calls per signed wallet), which is genuinely useful. However, it never states the return shape (presumably a boolean) or how edge cases like uppercase letters or leading/trailing hyphens are treated.
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 core definition is front-loaded and efficient, but 'Provide value.' is filler that conveys nothing, and the trailing emoji promotional line about free trial calls is marketing rather than tool guidance. Three sentences, one of which could be cut or replaced with actual parameter meaning.
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?
For a single-parameter predicate with no output schema and no annotations, the description covers what the tool tests and its access model, which is the bulk of what is needed. It is still incomplete on the two things an agent would otherwise have to guess: the boolean return and the required-ness/format of the input string.
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%, so the description is expected to compensate, and it does not: 'Provide value.' only restates the parameter name without saying it is the string to be tested or whether it is required (the schema lists it under properties but not required). The natural reading of 'value' plus the tool purpose partly saves it, but no real meaning is added.
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 gives a specific predicate plus a precise definition of the criterion: 'Check whether a string is a URL slug: lowercase alphanumeric words joined by single hyphens.' An agent knows exactly what is being tested. It stops short of 5 because it never distinguishes itself from the closely related sibling tools x402-slug (slug generation) and x402-is-kebab-case, leaving the agent to infer which one it wants.
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?
'Check whether a string is a URL slug' implies a validation use case, but there is no explicit when-to-use framing, no statement of when NOT to use it, and no pointer to alternatives such as x402-slug for producing a slug. With a large sibling set containing near-duplicates, this silence matters.
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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