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Grokzilla micro pay

json_schema_validate

Cheap schema gate: type, required, properties, array items, plus format checks (email, date, date-time, uri, ipv4, ipv6, uuid, hostname). Price $0.006 via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaYes
instanceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
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 usefully discloses the pricing model and payment mechanism ($0.006 via x402), which is real behavioral context an agent needs before invoking. However, it says nothing about the response shape (pass/fail, error listing) or that it is a pure, side-effect-free check, leaving meaningful gaps for a no-annotation, no-output-schema tool.

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

Conciseness4/5

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

Two compact sentences, front-loaded with capability and followed by pricing. No filler. Minor deduction for the jargon 'schema gate', which costs a beat of interpretation.

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?

With no annotations and no output schema, the description must cover both safety profile and return semantics, and it only covers scope plus pricing. For a two-required-parameter tool at 0% schema coverage, an agent still lacks the input formats and the success/failure response shape.

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 explains the two parameters ('instance', 'schema'). Parameter names are suggestive but ambiguous about whether inputs are JSON objects, strings, or references. The enumerated keyword list indirectly signals supported schema dialect, which is the only parameter-adjacent value added.

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 names the resource (a JSON instance validated against a schema) and enumerates the exact capabilities: type, required, properties, array items, and named format checks. The verb is implied rather than stated ('gate' instead of 'validate'), but an agent can still distinguish this from json_repair, json_flatten, or json_sort without opening the schema.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance, and no routing to alternatives. A sibling like json_repair or json_sort is adjacent enough that an agent could plausibly pick the wrong tool; the description does nothing to disambiguate. Only the implicit 'validation' framing hints at usage.

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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