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clemensv

io.github.clemensv/avrotize

by clemensv

list_conversions

List conversion commands for transforming data structure definitions between schema formats and generating code.

Instructions

List available Avrotize conversion commands.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. The verb 'List' suggests a read-only, non-mutating operation, but the description does not state what the returned list contains, whether any conversion is executed, or any operational constraints. This is minimally acceptable for a simple list operation.

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?

The description is a single front-loaded sentence with no filler. It delivers the action and object directly, making it easy for an agent to parse quickly.

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 zero-parameter list tool, this description is largely sufficient: it identifies what is being listed and the general domain. It does not detail the exact shape of each command entry, but the absence of an output schema makes that less critical here.

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

Parameters4/5

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

The tool has zero parameters and the input schema fully reflects that, so there is no parameter documentation burden on the description. The phrase 'conversion commands' provides some semantic hint about what the output entries represent.

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 states a specific verb ('List') and a clear resource ('available Avrotize conversion commands'), so the tool's purpose is unambiguous. However, it does not explicitly differentiate it from sibling tools like describe_capabilities or get_conversion, which could also surface listings or details.

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 guidance about when to use this tool versus describe_capabilities, get_conversion, or run_conversion. The description only states what it does; the agent must infer when it should be called.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.