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Grokzilla micro pay

slugify

Turn free text into a URL-safe lowercase slug. Deterministic, no network. Price $0.003 via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
max_lenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does usefully disclose determinism, no network access, and the x402 price ($0.003), which tells the agent this is a paid, side-effect-free, idempotent transform. However it omits what happens on empty input, unicode/non-ASCII handling, and how truncation via max_len behaves, which matters for a text transform with a 4000-char bound.

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?

Three short, front-loaded sentences with no filler; the core action leads, followed by the behavioral guarantees and the pricing note. Every sentence carries distinct information.

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

Completeness4/5

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

For a small deterministic utility with no output schema and no annotations, the description covers purpose, determinism, network posture, and billing — the output format is described inline (lowercase, URL-safe slug). The only real gap is that parameter behavior (notably max_len) is absent, though that is already penalized separately.

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

Parameters2/5

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

Schema description coverage is 0% and the description never mentions either parameter. It says nothing about `text` or about `max_len` (default 80, max 200) — critically, whether exceeding max_len truncates, errors, or word-boundary-splits is left entirely unexplained, so the description fails to compensate for the empty schema documentation.

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?

"Turn free text into a URL-safe lowercase slug" is a precise verb+resource+output format statement. It is unambiguously distinguishable from every sibling (base64, sha256, uuid_mint, keyword_extract) without consulting any schema.

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?

The usage context is implied by the narrow purpose rather than stated: an agent can infer this is the tool for slug generation, but there is no explicit when-to-use framing, no mention of when a sibling (e.g. keyword_extract or html_clean) should be preferred, and no input preconditions.

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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