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Penny Engine — Agent Operations

penny_csv_to_json

Read-only

Transform CSV text into a bounded array of JSON records with quoted cell support. Free, no signup, deterministic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
csvYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds useful operational context: it is free, requires no signup, produces deterministic output, and returns a 'bounded' array, all of which go beyond the annotations.

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?

The description is two compact sentences with the core function front-loaded and no filler. The second sentence, while brief, adds differentiating context.

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 simple conversion tool with annotated safety and no output schema, the description covers the basic output shape ('bounded array of JSON records') but leaves key details unspecified: how many records constitute the bound, what happens with malformed CSV, or input size limits. An agent could invoke it but may be surprised by truncation or errors.

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?

The sole parameter 'csv' has 0% schema description coverage. The description only repeats 'CSV text', which adds little beyond the parameter name, and gives no details on format, size limits, or encoding. It does not compensate for the coverage gap.

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?

The description uses a specific verb 'Transform' and names both the input (CSV text) and output (bounded array of JSON records), making the tool's function unmistakable. It is clearly distinguishable from all siblings, none of which perform CSV-to-JSON conversion.

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?

The description offers no guidance on when to use this tool versus alternatives, and no preconditions or exclusions. The tagline 'Free, no signup, deterministic' describes properties, not usage context.

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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