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Grokzilla micro pay

csv_normalize

Parse CSV into JSON rows keyed by trimmed snake_case headers, plus a type hint per column (integer, number, boolean, date, datetime, string). Deterministic, no network. Price $0.003 via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
csvYes
delimiterNo,

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?

With no annotations, the description carries the full burden. It does disclose two valuable traits beyond the schema: the operation is deterministic/no-network and it is a paid endpoint requiring x402 payment ($0.003). However, it says nothing about behavior on malformed CSV, duplicate headers, oversized input (the schema caps at 400k chars), or whether the type hint is advisory or coercive.

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 sentences, front-loaded with the core transformation and output shape, followed by determinism and pricing. No filler; every clause carries information an agent needs.

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?

No output schema exists, so the description correctly spends its words describing the return shape (keyed rows plus type hints). The payment requirement is disclosed. The remaining gaps are the undocumented delimiter parameter and undefined failure/limit behavior, which are minor for a two-parameter utility.

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 the `delimiter` parameter or its allowed values, nor explains the `csv` input format. The enum in the schema constrains delimiter options, but the description adds no meaning on top of it, leaving half the parameters undocumented in prose.

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?

States a specific verb+resource (Parse CSV) and goes further to specify the output contract: JSON rows keyed by trimmed snake_case headers with a per-column type hint. No sibling in the set does CSV work, so no differentiation is needed and none is owed.

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?

Usage is implied by the purpose (you have CSV, you want normalized JSON rows) but there is no explicit when-to-use statement, no prerequisites, and no named alternative or boundary condition. No sibling competes here, which softens the omission but does not supply guidance.

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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