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slugify

Turn a title into a clean URL slug: accents removed, punctuation dropped, words lowercased and hyphenated. Pure CPU, instant. Use for CMS paths, filenames and a

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "slugify"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesText to slugify
separatorNoSeparator (default hyphen)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Changed3 schema fields changed
    • addedInput schema / properties / separator
      Added value: +{
      +  "description": "Separator (default hyphen)",
      +  "type": "string"
      +}
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to slugify",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "text"
      +]
  4. Added

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral load; it does disclose the full transform pipeline and asserts 'Pure CPU, instant', which usefully signals no network calls and no side effects. It omits edge-case behavior (emoji/non-Latin input, idempotency, repeated separators) and says nothing about what the returned value looks like.

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

Conciseness3/5

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

The lead sentence is dense and front-loaded with the useful information first. However, the definition ends abruptly with 'and a', an obvious truncation that wastes space and leaves a dangling clause.

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 trivial two-parameter string utility with no output schema and no annotations, the description covers the core semantics adequately. It still leaves the return format unillustrated (no example slug) and the truncated tail means the usage guidance is not fully delivered.

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 both parameters are already documented, and the baseline is 3. The word 'hyphenated' implicitly confirms the default separator behavior in the schema, but the optional `separator` parameter is never mentioned in the description, so no meaningful meaning is added beyond the schema.

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

Purpose4/5

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

The description opens with a specific verb+resource ('Turn a title into a clean URL slug') and enumerates the transformation pipeline (accents removed, punctuation dropped, lowercased, hyphenated). This distinguishes it from near-neighbors like remove_accents, case_convert, and title_case, though it never names those siblings explicitly.

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

Usage Guidelines3/5

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

'Use for CMS paths, filenames and a' gives concrete use cases but the sentence is cut off mid-word, leaving the guidance incomplete. There is no statement of when NOT to use it or which sibling to prefer for overlapping tasks such as accent stripping or case conversion.

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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